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Co-Authors
- Awquib Sabhat
- M. A. Malik
- A. S. Kamili
- G. N. Malik
- Firdose Ahmad Malik
- M. Iqbal Jeelani
- Nageena Nazir
- Fehim Jeelani
- N. A. Dar
- Shamsul Haq
- Syed Maqbool
- Shahid Wani
- Murtaza Shah
- T. H. Masoodi
- P. A. Khan
- J. A. Wani
- A. K. Mishra
- A. Shah
- M. P. Sharma
- H. B. Singh
- M. A. Lone
- Imran Khan
- M. S. Wani
- Z. A. Baba
- M. Y. Zargar
- Sameera Shafi
- Anjum Rashid
- M. A. Bhat
- S. Maqbool
- Yasmeena Ismail
- Sajad Mohi-ud-din
- Naveed Anjum
- A. R. Wani
- M. Jamal Ahmad
- A. A. Khan
- GH. Hassan
Journals
- Asian Journal of Bio Science
- Indian Journal of Science and Technology
- Indian Forester
- Oriental Journal of Computer Science and Technology
- An Asian Journal of Soil Science
- International Research Journal of Agricultural Economics and Statistics
- Asian Journal of Home Science
- Journal of Biological Control
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Mir, S. A.
- Effect of Mulberry Nutrition on Protein and Free Amino Acid Levels of Haemolymph of Selected Races of the Silkworm, Bombyx mori L. under Temperate Climates of Kashmir
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Authors
Affiliations
1 Temperate Sericulture Research Institute Skuast-k, Mirgund, J&K, IN
2 Temperate Sericulture Research Institute Skuast-k, Mirgund, J&K
3 Directrate of Extension, Sher-e-kashmir University of Agricultural Sciences and Technology (k), Shalimar, Srinagar, J&K, IN
4 Division of Agricultural Statistics, Sher-e-kashmir University of Agricultural Sciences and Technology (k), Shalimar, Srinagar, J&K, IN
1 Temperate Sericulture Research Institute Skuast-k, Mirgund, J&K, IN
2 Temperate Sericulture Research Institute Skuast-k, Mirgund, J&K
3 Directrate of Extension, Sher-e-kashmir University of Agricultural Sciences and Technology (k), Shalimar, Srinagar, J&K, IN
4 Division of Agricultural Statistics, Sher-e-kashmir University of Agricultural Sciences and Technology (k), Shalimar, Srinagar, J&K, IN
Source
Asian Journal of Bio Science, Vol 8, No 1 (2013), Pagination: 47-51Abstract
Changes in the levels of protein and free amino acids in the haemolymph of three selected silkworm breeds viz., SKAU-R-1, SH-6 and NB4D2, fed with selected mulberry varieties like Ichinose (control), Goshoerami (uniformly the best), and Kokuso-20 (least productive) were investigated in 4th moult, and 5th instar larval development during spring and summer seasons. The protein levels in haemolymph were lower at moult in all the three races but the levels showed a sharp increase upon resumption of feeding. The mean levels of protein irrespective of seasons were relatively higher in larvae of SKAU-R-1(44.97 mg/ml) followed by NB4D2 (44.35 mg/ml) and SH6 (42.48 mg/ml). Haemolymph free amino acid levels decreased during 5th instar from the level observed at 4th moult. The mean free amino acid level for the entire 5th instar larval stage in both seasons was relatively higher in NB4D2 (4.55 mg/ml) followed by SKAU-R-1 (4.25 mg/ml) and SH6 (4.17 mg/ml). Free amino acid levels dropped through the 5th instar larval development in all the three races. The changes in the haemolymph protein and free amino acid levels were observed from different base levels in the larvae feeding on different mulberry varieties. Racial differences in the haemolymph protein and free amino acid contents were observed during both seasons in relation to mulberry nutrition being higher in larvae feeding on the foliage of Goshoerami than Ichinose and Kokuso-20.Keywords
Mulberry, Bombyx Mori, Haemolymph, Protein, Free Amino AcidReferences
- Chen, P.S. and Levenbook, L. (1966). Studies on the haemolymph proteins of the blow fly Phormia regina. I. Changes in ontogenic patterns. J. Insect. Physiol., 12: 1595-1609.
- Corrigan, J.J. (1970). Nitrogen metabolism in insects. In: Comparative biochemistry of nitrogen metabolism. The Invertebrates (Ed. J.W. Campbell, Academic Press, LONDON (U.S.). pp. 387-488.
- Dandin, S.B., Jayaswal, Jayant and Giridhar, K. (2003). Handbook of sericulture technologies. Central Silk Board, BENGALURU (KARNATAKA) INDIA.
- Florkin, M. (1959). The free amino acids of insect haemolymph. In: Biochemistry of insects (Ed. L. Levenbook). Pergamon Press, OXFORD (U.S.A.) pp.63-77.
- Fukuda, T. (1960). Biochemical studies on the formation of the silk protein. XI. The kinds of free amino acids concerned in the biosynthesis of the silk protein. J. Seric. Sci., Japan, 29: 120.
- Gokulama, K. and Srinivasa Reddy, Y. (2003). Role of nutrition and environment on the consumption, growth and utilization indices of selected silkworm breeds of Bombyx mori L., Adv. Tropical Sericul., pp. 249-252.
- Horie, Y., Inokuchi, T. and Watanabe, K. (1970). Effects of dietary amino acid balances on growth and cocoon quality in the silkworm, Bombyx mori L. Bull. Seric. Exp. Stn., 24: 335.
- Inokuchi, T. (1971). Effect of dietary condition of free amino acid patterns in haemolymph of the silkworm, Bombyx mori L. J. Seric. Sci. Japan, 40: 281.
- Ito, T. (1978). Silkworm nutrition, In The Silkworm: An important laboratory tool. (Ed: Tazima, Y.) Kodansha Ltd., Japan. pp. 121-157.
- Levenbook, L. (1985). Insect storage proteins. In: Comprehensive insect physiology biochemistry and pharmocology. Kerkut, G.A. and Gilbert, L.I. (Eds.) Pergmon Press: Oxford, 10: 307-346.
- Lowry, O.H., Rosebrough, N.J., Farr, A.L. and Randall, R.S. (1951). Protein measurement with the folin phenol reagent. J.Biol. Chem., 93: 265-275.
- Miyashita, Y. (1986). A report on mulberry cultivation and training methods suitable to bivoltine rearing in Karnataka. pp. 1-7.
- Moore, S. and Stein, W.H. (1968). A modified ninhydrin reagent for the photometric determination of amino acids and related compounds. J. Biol. Chem., 211: 907-913.
- Mullins, D.E. (1985). Chemistry and physiology of the haemolymph. Comprehensive insects physiology. (Eds. G.A. Kerkut and L.I. Gilbert). Pergamon Press, Oxford, 3: 355-400.
- Nagata, M. and Kobayashi, M. (1990). Effects of nutrition on storage protein concentration in the larval haemolymph of silkworm, Bombyx mori L. J. Sericul. Sci. Japan, 59: 469-474.
- Sabhat, A., Malik, M.A., Malik, F.A., Sofi, A.M. and Mir, M.R. (2011). Nutritional efficiency of selected silkworm breeds of Bombyx mori L. reared on different varieties of mulberry under temperate climate of Kashmir. African J. agric. Res., 6(1): 120-126.
- Watanabe, K. and Horie, Y. (1980). Effects of dietary levels of essential amino acids on the growth on silk glands, components of haemolymph and uric acid excretion in the silk worm, Bombyx mori. J. Seric. Sci. Japan, 49: 177-185.
- Yamada, M. (1976). Acid hydrolytic conditions of the silkworm, Bombyx mori fibroin for automatic amino acid analysis, Acta Sericologica, 98: 74-83.
- Application of Simple Random Sampling in Agriculture using R-software
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Authors
M. Iqbal Jeelani
1,
Nageena Nazir
1,
S. A. Mir
1,
Fehim Jeelani
1,
N. A. Dar
2,
Shamsul Haq
3,
Syed Maqbool
3,
Shahid Wani
3
Affiliations
1 Division of Agricultural Statistics, SKUAST-K, IN
2 Division of Plant Pathology, SKUAST-K,, IN
3 Division of Environmental Science, SKUAST-K, IN
1 Division of Agricultural Statistics, SKUAST-K, IN
2 Division of Plant Pathology, SKUAST-K,, IN
3 Division of Environmental Science, SKUAST-K, IN
Source
Indian Journal of Science and Technology, Vol 7, No 5 (2014), Pagination: 705–708Abstract
In this paper one of the basic techniques of sampling namely simple random sampling has been used utilizing R software keeping in view the importance of this technique in agricultural surveys. Apple data taken from district Ganderbal of Kashmir valley is taken. Function SRSWOR(Y,N) using R software is developed; also different graphics are presented.Keywords
R Software, Boxplot, Simple Random Sampling- Modified Ratio Estimators using Linear Combination of Co-efficient of Skewness and Median of Auxiliary Variable under Rank Set Sampling and Simple Random Sampling
Abstract Views :208 |
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Authors
Affiliations
1 Division of Agricultural Statistics, SKUAST-K, IN
1 Division of Agricultural Statistics, SKUAST-K, IN
Source
Indian Journal of Science and Technology, Vol 7, No 5 (2014), Pagination: 722–727Abstract
In this article we have proposed some ratio estimator for the study variable based on the linear combination of known values of Co-efficient of Skewness and Median of the auxiliary variable utilizing Rank set sampling and Simple random sampling are proposed. Mean squared error up to the first degree of approximation are derived. The proposed ratio estimators under rank set sampling perform better than the proposed ratio estimators under simple random sampling. The simulated study has been carried out in support of the results.Keywords
Rank set sampling, Ratio type estimator, Simple random sampling, Mean square error, Co-efficient of Skewness, Median- Vegetation Analysis and Carbon Sequestration Potential of Salix alba Plantations under Temperate Conditions of Kashmir, India
Abstract Views :179 |
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Authors
Affiliations
1 Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Campus Wadura, Sopore, IN
1 Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Campus Wadura, Sopore, IN
Source
Indian Forester, Vol 141, No 7 (2015), Pagination: 755-761Abstract
The present study was conducted in Anantnag, Bandipora, Baramulla and Ganderbal districts of J.&K. After reconnaissance, survey was conducted and two plantation blocks of willow were selected in each district. Analysis of the data revealed that Salix albawas the dominant species with individualistic density of 81.90 % and IVI of 213.80. The existing stem volume, biomass production, carbon density and carbon sequestration potential of trees at all the selected locations were evaluated. The maximum and minimum stem volume of 739.34 and 595.09 cum ha-1 was recorded at Bandipora and Anantnag districts. The biomass production varied from 429.27 Mg ha-1 in Anantnag to 532.61 t ha-1 in Bandipora. The maximum soil carbon density of 68.07 t ha-1 was recorded at Bandipora, followed by 67.93 t ha-1 at Baramulla, 66.86 t ha-1 at Ganderbal and 66.43 t ha-1 at Anantnag.Keywords
Carbon Density, Carbon Sequestration, Biomass Production, Salix alba.- Rediscovery of Hibiscus surattensis L. (Malvaceae) from the Delhi Region after more than Century
Abstract Views :161 |
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Authors
Affiliations
1 Department of Botany, Jamia Hamdard, New Delhi, IN
1 Department of Botany, Jamia Hamdard, New Delhi, IN
Source
Indian Forester, Vol 141, No 12 (2015), Pagination: 1326-1327Abstract
No Abstract.- Optimal Allocation of Stratified Sampling Design Using Gradient Projection Method
Abstract Views :242 |
PDF Views:4
Authors
Affiliations
1 Division of Agri.stat, SKUAST-K, Kashmir, IN
1 Division of Agri.stat, SKUAST-K, Kashmir, IN
Source
Oriental Journal of Computer Science and Technology, Vol 10, No 1 (2017), Pagination: 11-17Abstract
This article deals with the problem of finding an optimal allocation of sample sizes in stratified sampling design to minimize the cost function. In this paper the iterative procedure of Rosen’s Gradient projection method is used to solve the Non linear programming problem (NLPP), when a non integer solution is obtained after solving the NLPP then Branch and Bound method provides an integer solution.Keywords
Stratification, Optimal Allocation, Nonlinear Programming, Gradient Projection Method, Branch and Bound Method and Integer Allocation.References
- Ahsan, M. J., Najmussehar and Khan ,M. G.M. Mixed allocation in stratified sampling.Aligrah Journal of Statistics sciences 25,87-97, (2005).
- Ansari A.H., Najmussehar and Ahsan M.J. On Multiple Response Stratified Random Sampling Design, International Journal of Statistical Sciences, 1, 45-54, (2009).
- Aoyama H. Stratified Random Sampling with Optimum Allocation for Multivariate Populations, Annals of the institute of statistical Mathematics. 14, 251–258, (1963).
- Arthanari ,T.S., and Dodge, Y. Mathematical programming in statistics. New York: John Willy (1981).
- Bethel J. Sample Allocation in Multivariate Surveys. Survey Methodology, 15, 40-57, (1989) .
- Chatterjee, S. A study of optimum allocation in multivariate stratified surveys. Skandinavisk Actuarietidskrift 55,73-80, (1972).
- Chatterjee, S. Multivariate stratified surveys. Journal of American statistics Association. 63,530-535, (1968).
- Chromy, J. R. Design Optimization with Multiple Objectives. In: Proceedings of the Survey Research Methods section. Alexandria, VA: American Statistical Association, (1987)194–199 .
- Cochran W.G. Sampling Techniques, 3rd edition. John Wileyand Sons, New York (1977).
- Dalenius. Sampling in Sweden. Contributions to the Methods and Theories of Sample Survey Practice. Stockholm: Almqvist and Wicksell (1957).
- Folks, J.K., Antle, C.E. Optimum allocation of samplingunits to the strata when there are R responses of interest. Journal of American Statistical Association 60, 225-233, (1965).
- Ghosh,S.P. A note on stratified random sampling with multiple characters. Calcutta Statistical Bulletin 8, 81-89, (1958).
- Gren , J. Some Application of Non-linear Programming in Sampling Methods, Przeglad Statystyczny, 13,203–217, (1966) (in Polish).
- Hartley H.O. Multiple purpose optimum allocation in stratified sampling, in : Proceedings of the American Statistical Association, Social Statistics Section. Alexandria, VA: American Statistical Association, (1965) 258-261.
- Khan. M.G.M., and Ahsan, M. J., and Jahan, N. An optimal multivariate stratified sampling using dynamic programming .Australian & New Zealand of statistics 45, 107-113, (2003).
- Khan. M.G.M., and Ahsan, M. J., and Jahan, N. Compromise allocation in multivariate stratified sampling : An integer solution. Naval Research Logistics 44, 69-79, (1997).
- Kokan, A. R. and Khan, S. U. Optimum allocation in multivariate surveys: An analytical solution. Journal of Royal Statistical Society, Ser. B, 29, 115-125, (1967).
- Kozok M. On sample allocation in multivariate surveys, Communication in Statistics-Simulation and Computation, 35, 901-910, (2006).
- Kreienbrock, L . Generalized measures of dispersion to solve the allocation problem in multivariate stratified random sampling. Communication in Statistics : theory and methods 22, 219-239, (1993).
- Lingo 13.0, LINDO inc.ltd.
- Mohd.Vaseem Ismail et al. Multi-objective convex programming problem arising in multivariate sampling. International Journal of Engineering Science and Technology 2, 291-296, (2010).
- Neyman, J. On the two Different aspects of the representative method: The method of stratified sampling and the method of purposive selection. Journal of Royal Statistical Society 97, 558-625, (1934).
- P. V. Sukhatme, B. V. Sukhatme, Sukhatme, C. Asok. Sampling theory of Surveys with Applications. Iowa State University Press, Iowa, U. S. A. and Indian Society of Agricultural Statistics, New Delhi, India (1984).
- Rosen, J.B. The gradient projection method For Nonlinear Programming, Part i, linear constraints. SIAM journal of Applied Mathematics 8, 181-219, (1960).
- Rosen, J.B. The gradient projection method For Nonlinear Programming, Part ii, Nonlinear constraints. SIAM journal of Applied Mathematics 9, 514-553, (1961).
- Thompson, M.E. Theory of Sample Surveys. Chapman & Hall (1997).
- Wywial J. Minimizing the Spectral Radius of Means Vector from Sample Variance–covariance Matrix Sample Allocation between Strata, Prace Naukowe Akademii Ekonomicznej we Wroclawiu. Wroclaw, Poland, 404, 223–235, (1988) (in Polish).
- Yates, F. Sampling Methods for Censuses and Surveys. 3rd ed. London: Charles Griffin (1960).
- An Integer solution in Intuitionistic Transportation Problem with Application in Agriculture
Abstract Views :228 |
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Authors
Affiliations
1 Division of Agric. Stat., SKUAST-K, Kashmir, IN
1 Division of Agric. Stat., SKUAST-K, Kashmir, IN
Source
Oriental Journal of Computer Science and Technology, Vol 10, No 1 (2017), Pagination: 18-23Abstract
In this paper, we investigate a Transportation problem which is a special kind of linear programming in which profits; supply and demands are considered as Intuitionistic triangular fuzzy numbers. The crisp values of these Intuitionistic triangular fuzzy numbers are obtained by defuzzifying them and the problem is formulated into linear programming problem. The solution of the formulated problem is obtained through LINGO software. If the obtained solution is non-integer then Branch and Bound method can be used to obtain an integer solution.Keywords
Transportation Problem, Intuitionistic Triangular Fuzzy Numbers, Maximized Profit, Branch And Bound Method, Optimal Allocation and LINGO.References
- Atanassov. K.(1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20: 87-96.
- De, P. K and Das, D. 2012. Ranking of trapezoidal intuitionistic fuzzy numbers. 12th International Conference on Intelligent Systems Design and Applications (ISDA);184 – 188.
- Fortemps. P and.Roubens .M.(1996 ). “Ranking and defuzzification methods based area compensation”.fuzzy sets and systems 82: 319-330.
- Gani. A. N and Abbas.S. A new method for solving intuitionistic fuzzy transportation problem,. Applied Mathematical Sciences, 7(28) : 1357 – 1365, (2013).
- Hakim. M. A. An alternative method to Find Intial basic Feasible Solution of transportation Problem. Annals of Pure and Applied Mathematics,1(2):203-209, (2012).
- Hitchcock, F. L. The distribution of product from several source to numerous localities. J. Maths. Phy. 20: 224-230, (1941).
- Hussain. R.J. and Kuma, P.S. Algorithm approach for solving intuitionistic fuzzy transportation problem, Applied Mathematical Sciences, 6 (80):3981- 3989, (2012).
- Koopman, T.C.(1947). Optimum utilization of transportation system. Proc. Intern. Statics. Conf. Washington D.C.
- Kumar. P. S. and Hussain.P.S. A method for solving balanced Intuitionistic fuzzy assignment problem, International Journal of Engineering Research and Applications, 4(3) : 897-903, (2014).
- Mi tchel l . N.H. (2011) . Mathemat ical Applications in Agriculture, 2nd ed.London: Cengage Learning.
- Orlovsky, S. A. On Formulation Of A General Fuzzy Mathematicakl programming problem. Fuzzy Sets and Systems, 3: 311321, (1980).
- Paul, A.R.J., Savarimuthu . S. J and Pathinathan.T. Method for solving the transpor tat ion problem us ing triangular Intuitionistic fuzzy number, InternationalJournal of Computing Algorithm, 3 : 590-605, (2014).
- Pramila. K and Ultra. G. Optimal Solution of an Intuitionistic Fuzzy Transportation Problem. Annals of Pure and Applied Mathematics,8(2):67-73, (2014).
- Thor nley.J, and France.J. (2006) . Mathematical Models in Agriculture, 2nded., Wallingford, Oxfordshire: CABI.
- Zadeh,L.A. Fuzzy Sets. Information and Control.8 :338-353, (1965).
- Effect of Inorganic and Biofertilizers on Soil Physico Chemical Properties and Micronutrient Availability in Strawberry (Fragaria×ananassa Duch)
Abstract Views :170 |
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Authors
Affiliations
1 Department of Soil Science, RRS/FOA, Shere-e-Kashmir, University of Agriculture Sciences and Technology of Kashmir, Wadura Sopore (J&K), IN
2 Department of Soil Science, Regional/Rice Research Station/FOA, Sher-e-Kashmir University of Agriculture Sciences and Technology (K), Wadura Sopore (J&K), IN
3 Department of Agristatistics and Economics, Regional/Rice Research Station/FOA, Sher-e-Kashmir, University of Agriculture Sciences and Technology (K), Wadura Sopore (J&K), IN
1 Department of Soil Science, RRS/FOA, Shere-e-Kashmir, University of Agriculture Sciences and Technology of Kashmir, Wadura Sopore (J&K), IN
2 Department of Soil Science, Regional/Rice Research Station/FOA, Sher-e-Kashmir University of Agriculture Sciences and Technology (K), Wadura Sopore (J&K), IN
3 Department of Agristatistics and Economics, Regional/Rice Research Station/FOA, Sher-e-Kashmir, University of Agriculture Sciences and Technology (K), Wadura Sopore (J&K), IN
Source
An Asian Journal of Soil Science, Vol 5, No 1 (2010), Pagination: 90-93Abstract
The experiment was conducted during 2005-2006 at Sher-e-Kashmir University of Agricultural sciences and Technology of Kashmir India to study the combined effect of nitrogen (0,75,150 Kg ha-1), phosphorus (0,50,100 kg ha-1) and bio-fertilizers (No inoculant, Azotobacter sp., Bacillus sp., Pseudomonas sp., Glomus sp.) on soil physicochemical properties and micro nutrient availability in strawberry growing soils. The experiment was laid out in completely randomized design (factorial) with 45 treatment combinations and 5 replications. Significantly lower pH (6.44) from T17, T19, T33, electrical conductivity (0.62 dsm-1) from T3 and higher organic carbon (0.97%) from T28, T38 and T42 were recorded. Zinc availability was not significantly influenced by any treatment. Treatments T43 and T44 recorded significantly higher available copper content (0.85 ppm). Significantly higher available manganese (50.20 ppm) and iron (45.01 ppm) was recorded from the treatment T44.Keywords
Inorganic Fertilizers, Biofertilizers, Micronutrients, Strawberry.- Optimum Plot Size for Tomato by Using S-Plus and R-Software’s in the Soils of Kashmir
Abstract Views :135 |
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Authors
Affiliations
1 Division of Agricultural Statistics, S.K. University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar (J&K), IN
2 Division of Agricultural Statistics, S.K. University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar (J&K), IN
1 Division of Agricultural Statistics, S.K. University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar (J&K), IN
2 Division of Agricultural Statistics, S.K. University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar (J&K), IN
Source
An Asian Journal of Soil Science, Vol 4, No 2 (2010), Pagination: 311-314Abstract
Optimum plot shape and size of plot has been worked out from uniformity trial on S-II variety of tomato. Maximum curvature method, Fair-field Smith’s variance law was used for the purpose. A plot of 8 m2 (4m x 2 m) was found to be optimum for S-II variety of tomato grown at RRS and FOA Wadura Campus, SKUAST-K. The trial indicated that coefficient of variation decreased with increase in plot size in either direction, but decrease was more in north-south direction than east-west direction. The shape of plot has been found to have very little influence on variability within the range of plot size considered.Keywords
Tomato, Trial, Variety.- Variance Estimation Using Linear Combination of Non-Conventional Measures, Quartile Average and Deciles Mean
Abstract Views :159 |
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Authors
Affiliations
1 Division of Agricultural Statistics, SKUAST, Kashmir (J&K), IN
1 Division of Agricultural Statistics, SKUAST, Kashmir (J&K), IN
Source
International Research Journal of Agricultural Economics and Statistics, Vol 8, No 2 (2017), Pagination: 431-434Abstract
Use of auxiliary information in survey sampling plays important role in getting more precision for estimating population parameters. Thus it has now become indispensable to use auxiliary information, thus in this paper we propose new modified ratio estimators by using the auxiliary information of non conventional location measures, non conventional measures of dispersion, quartile average, decile mean and their linear combinations for estimating population variance. The properties associated with proposed estimators are assessed by mean square error, bias and compared with existing estimators. By this comparison we conclude that our proposed estimators are more efficient than the existing estimators. To support the theoretical results, numerical study is provided.Keywords
Simple Random Sampling, Bias, Mean Square Error, Downtown’s Method, Deciles, Efficiency.References
- Cochran , W. G. (1977). Sampling techniques. 3rd Ed., Wiley Eastern Limted.
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- Hierarchical Bayes Small Area Estimation under an Area Level Model with Applications to Horticultural Survey Data
Abstract Views :169 |
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Authors
Affiliations
1 Division of Agri-Statistics, SKUAST-K, Shalimar (J&K), IN
2 Division of Agri-Statistics, SKUASTK, Shalimar (J&K), IN
1 Division of Agri-Statistics, SKUAST-K, Shalimar (J&K), IN
2 Division of Agri-Statistics, SKUASTK, Shalimar (J&K), IN
Source
International Research Journal of Agricultural Economics and Statistics, Vol 9, No 1 (2018), Pagination: 215-223Abstract
In this paper we studied Bayesian aspect of small area estimation using Area level model. We proposed and evaluated new prior distribution for the area level model, for the variance component rather than uniform prior. The proposed model is implemented using the MCMC method for fully Bayesian inference. Laplace approximation is used to obtain accurate approximations to the posterior moments. We apply the proposed model to the analysis of horticultural data and results from the model are compared with frequestist approach and with Bayesian model of uniform prior in terms of average relative bias, average squared relative bias and average absolute bias. The numerical results obtained highlighted the superiority of using the proposed prior over the uniform prior.Keywords
Small Area Estimation, Area Level Model, Hierarchical Bayes.References
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- Datta, G.S., Lahiri , P. and Maiti, T. (2002). Estimation of median income of four person families by state using timeseries and cross sectional data. J. Statist. Planning & Influence, 102 : 83-97.
- Datta, G.S., Rao, J.N.K. and Smith, D.D. (2005). On measuring the variability of small area estimators under a basic area level model. Biometrika, 92 : 183-196.
- Fay, R.E. and Herriot, R.A. (1979). Estimation of incomes from small places: an application of James-Stein procedures to census data. J. American Statist. Assoc., 74: 269- 277.
- Ghosh, M., Nangia, N. and Kim, D. (1996). Estimation of median income of four-person families: A bayesian time series approach. J. American Statist. Assoc., 91 : 1423-1431.
- Harville, D.A. (1977). Maximum likelihood approach to variance component estimation and to related problems. J. American Statistical Assoc., 72: 320-340.
- Jiang, J. and Lahiri, P. (2006). Estimation of finite population domain means: A model-assisted empirical best prediction approach. J. American Statist. Assoc., 101: 301-311.
- Jiang, J. (2007). Linear and generalized linear mixed models and their applications. Springer.
- Jiango, V.D., Haziza, D. and Duchasne, P. (2013). Controlling the bias of robust small area estimators.NATSEM,9:23-30.
- Kass, R.E. and Staffey, D. (1989). Approximate Bayesian inference in conditional independent hierarchical models (parametrical empirical Bayes model). J. American Statist. Assoc., 84 : 717- 726.
- Li, H. and Lahiri, P. (2008). Adjusted density maximization method: An application to the small area estimation problem. Technical Report.
- Pfeffermann, D. (2013). New important development in small area estimation. J. Statist. Sci., 28 (1) : 40-68.
- Prasad, N.G.N. and Rao, J.N.K. (1990). On robust small area estimation using a simple random effects model. Survey Methodology, 25 : 67-72.
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- An Application of Generalized Linear Model in Survival Analysis
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Authors
Affiliations
1 S.K. University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar (J&K), IN
1 S.K. University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar (J&K), IN
Source
Asian Journal of Home Science, Vol 13, No 1 (2018), Pagination: 68-74Abstract
Diabetes is a chronic, often debilitating and sometimes fatal disease, in which the body either cannot produce insulin or cannot properly use the insulin it produces. Type 1 diabetes occurs when the immune system mistakenly attacks and kills the beta cells of the pancreas. Type 2 diabetes occurs when the body can’t properly use the insulin that is released (called insulin insensitivity) or does not make enough insulin. Diabetic nephropathy, also known as Kimmelstiel Wilson syndrome or nodular diabetic glomerulosclerosis or intercapillary glomerulonephritis, is a clinical syndrome characterized by albuminuria (>300 mg/day or >200 mcg/min), permanent and irreversible decrease in glomerular filtration rate (GFR), the rate of rise in serum creatinine (SrCr). According to the WHO, 31.7 million people were affected by diabetes mellitus (DM) in India in the year 2000. This figure is estimated to rise to 79.4 million by 2030, the largest number in any nation in the world. In this paper, survival analysis will be done of the type 2 diabetic nephropathy patients through generalized linear model. Most appropriate distribution for duration of diabetes is selected through Bayesian information criterion value. Then two generalized linear models are fitted by taking the duration of diabetes as response variable and the predictors as SrCr, number of successes; GFR, number of successes, respectively. These covariates are linked with the response variable using different link functions. At the last, survival function under different links will be compared.Keywords
Generalized Linear Model, Link Function, Bayesian Information Criterion, Survival Function, Diabetic Nephropathy, GFR.References
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- Seasonal Incidence and Natural Enemy Complex of Aphid, Aphis punicae Passerini (Hemiptera: Aphididae) Infesting Pomegranate in Kashmir
Abstract Views :285 |
PDF Views:134
Authors
Sajad Mohi-ud-din
1,
Naveed Anjum
1,
A. R. Wani
1,
M. Jamal Ahmad
1,
A. A. Khan
1,
S. A. Mir
2,
GH. Hassan
3
Affiliations
1 Division of Entomology, Sher-e-Kashmir University of Agricultural Sciences and Technology-Kashmir, Shalimar, Srinagar 190025, J&K, IN
2 Division of Agricultural Statistics, Sher-e-Kashmir University of Agricultural Sciences and Technology-Kashmir, Shalimar, Srinagar 190025, J&K, IN
3 Division of Fruit Science, Sher-e-Kashmir University of Agricultural Sciences and Technology-Kashmir, Shalimar, Srinagar 190025, J&K, IN
1 Division of Entomology, Sher-e-Kashmir University of Agricultural Sciences and Technology-Kashmir, Shalimar, Srinagar 190025, J&K, IN
2 Division of Agricultural Statistics, Sher-e-Kashmir University of Agricultural Sciences and Technology-Kashmir, Shalimar, Srinagar 190025, J&K, IN
3 Division of Fruit Science, Sher-e-Kashmir University of Agricultural Sciences and Technology-Kashmir, Shalimar, Srinagar 190025, J&K, IN
Source
Journal of Biological Control, Vol 33, No 2 (2019), Pagination: 122-126Abstract
Survey on the pest incidence of pomegranate aphid (Aphis punicae) and natural enemies associated with it was conducted during 2016 at four locations each in district Srinagar and Baramulla. The studies revealed that that the highest mean population of aphids/shoot (33.99) was recorded in Srinagar, whereas, in Baramulla lower population of aphids/shoot (24.10) was recorded in comparison to Srinagar. Data further revealed that among different locations of Srinagar, highest average number of aphids/shoot (40.30) was observed at CITH and minimum (27.54) in Botakadal. Similarly, in district Baramulla highest mean number of aphids/shoot (27.63) was recorded at Sopore, whereas the lowest mean population (21.11/shoot) was observed at Dangerpora. The pest started its activity in Ist week of April and reached to its peak in the 2nd week of May in both the districts. Thereafter, the population of aphids declined gradually. The studies on natural enemies revealed that six coccinellid predators, viz., Coccinella septempunctata, Harmonia eucharis, Cheilomenes sexmaculata, Adalia tetraspilota, Hippodamia variegate and Calvia punctata and two syrphids viz, Sphaerophoria bengalensis and Episyrphus balteatus were found associated with pomegranate aphids. Among the natural enemies C. septempunctata was found to be the most dominant in both the districts. Overall, the abundance of natural enemies associated with pomegranate aphids in Baramulla was comparatively lesser than Srinagar.Keywords
Aphis punicae, Incidence, Natural Enemies, Pomegranate.References
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