Refine your search
Collections
Co-Authors
Year
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
Oyedeji, Osowole I.
- Scientific Workplace Software (SWPS) in Computation of a Truncated Distribution
Abstract Views :258 |
PDF Views:0
Authors
Affiliations
1 Department of Statistics, University of Ibadan, NG
1 Department of Statistics, University of Ibadan, NG
Source
Indian Journal of Innovations and Developments, Vol 2, No 3 (2013), Pagination: 835-838Abstract
Truncated distributions have been used in numerous industrial settings and in many practical situations .This study ,using the Scientific Workplace software (SWPS). highlights an algorithm for computing the variance of any given truncated distribution with particular reference to the standard normal density function The efficiency of the truncated standard normal density is found to improve according to the inverse values of the upper and lower truncation points. SWPS exhibits user friendliness, flexibility and speedy implementation of truncation problems.Keywords
Truncated Distribution, Screening Inspection, Tolerance Limits, Multistage Production Process,Scientific Workplace SoftwareFull Text
References
- Donald R. Barr and Sherrill E. Todd (1999) ‘‘Mean and Variance of Truncated Normal Distribution’’ The American Statistician, 53, 4, 357-361
- Nadarajah, S., and Kotz, S. (2006) “R Programs for Computing Truncated Distributions” Journal of Statistical Software, 16, Code Snippet 2
- Johnson, N.L., Kotz, S., and Balakrishnan N. (1994) “Continuous Univariate Distributions”, Volume 1, Wiley ISBN 0-471- 58495-9
- Field, T., Harder, U., and Harrison P (2004)”Network Traffic Behavior in Switched Ethernet Systems” Performance Evaluation, 5 8 , 243–260
- Dodge, Y. (2003). “The Oxford Dictionary of Statistical Terms” OUP.ISBN 0-19- 020613-9
- Cho, B.R, and Govindaluri, M.S. (2002) “Optimal Screening Limits in Multi-Stage Assemblies” International Journal of Production Research, 40, 1993–2009.
- Jeang, A. (1997) “An Approach of Tolerance Design for Quality Improvement and Cost Reduction” International Jour-
- Kapur, K . C ., and C h o , B.R. (1994) “Economic Design and Development of Specification” Q u a l i t y Engineering, 6, 401–417.
- Kapur, K . C ., and C h o , B.R. (1996) “Economic Design of the Specification Region for Multiple Quality Characteristics” IIE Transactions, 28, 237–248.
- Phillips, M.D., and Cho, B.R. (1998) “Quality Improvement for Processes with Circular and Spherical Specification Region” Quality Engineering, 11, 235–243.
- Phillips, M.D., and Cho, B.R. (2000) “Modeling of Optimum Specification Regions” Applied Mathematical Modeling, 24, 327–341
- Khasawneh, M.T, Bowling S.R., Kaewkuekool S., and Cho, B.R. (2004) “Tables Of truncated Standard Normal Distribution: A Singly Truncated Case.” Quality Engineering, 17, 33–50.
- Khasawneh, M.T, Bowling S.R., Kaewkuekool S., and Cho, B.R. (2005) “Tables of a Truncated Standard Normal Distribution: A Doubly Truncated Case.” Quality Engineering, 18, 227–241.