Author: N. BalakrishnanPublisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 43
Book Description
Estimation of the Mean and Standard Deviation of the Normal Distribution Based on Multiply Type-II Censored Samples
Author: N. BalakrishnanPublisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 43
Book Description
Estimation of the Mean and Standard Deviation of the Logistic Distribution Based on Multiply Type-II Censored Samples
Author: N. BalakrishnanOrder Statistics & Inference
Author: Narayanaswamy BalakrishnanPublisher: Elsevier
ISBN: 1483297497
Category : Mathematics
Languages : en
Pages : 399
Book Description
The literature on order statistics and inferenc eis quite extensive and covers a large number of fields ,but most of it is dispersed throughout numerous publications. This volume is the consolidtion of the most important results and places an emphasis on estimation. Both theoretical and computational procedures are presented to meet the needs of researchers, professionals, and students. The methods of estimation discussed are well-illustrated with numerous practical examples from both the physical and life sciences, including sociology,psychology,a nd electrical and chemical engineering. A complete, comprehensive bibliography is included so the book can be used both aas a text and reference.
Estimation of the Mean and Standard Deviation of a Normal Distribution Based Upon Centrally Restricted Samples
Author: John Victor HancockPublisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 160
Book Description
Simultaneous Linear Estimation of the Mean and Standard Deviation of the Normal and Logistic Distributions by the Use of Selected Order Statistics from Doubly Censored Samples
Author: Jackson S. SimpsonPublisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 320
Book Description
The method of least squares can be applied to order statistics of the Normal and Logistic distributions to estimate linearly the mean and standard deviation. For doubly censored samples of ordered observations, coefficients of estimation using the best L order statistics, where L is less than or equal to m (the number of observations remaining after censoring) were calculated and tabled. The efficiencies of the L-order-statistic estimators relative to the m-order statistic estimators are also tabled. Information concerning the Normal and Logistic distributions, their moments, and order statistics is given general coverage. (Author).
Advances in Statistical Decision Theory and Applications
Author: S. PanchapakesanPublisher: Springer Science & Business Media
ISBN: 1461223083
Category : Mathematics
Languages : en
Pages : 478
Book Description
Shanti S. Gupta has made pioneering contributions to ranking and selection theory; in particular, to subset selection theory. His list of publications and the numerous citations his publications have received over the last forty years will amply testify to this fact. Besides ranking and selection, his interests include order statistics and reliability theory. The first editor's association with Shanti Gupta goes back to 1965 when he came to Purdue to do his Ph.D. He has the good fortune of being a student, a colleague and a long-standing collaborator of Shanti Gupta. The second editor's association with Shanti Gupta began in 1978 when he started his research in the area of order statistics. During the past twenty years, he has collaborated with Shanti Gupta on several publications. We both feel that our lives have been enriched by our association with him. He has indeed been a friend, philosopher and guide to us.
Advances in Ranking and Selection, Multiple Comparisons, and Reliability
Author: N. BalakrishnanPublisher: Springer Science & Business Media
ISBN: 0817644229
Category : Mathematics
Languages : en
Pages : 439
Book Description
S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written in his honor, the twenty invited articles in this volume reflect recent advances in these areas and form a tribute to Panchapakesan’s influence and impact on these areas. Featuring theory, methods, applications, and extensive bibliographies with special emphasis on recent literature, this comprehensive reference work will serve researchers, practitioners, and graduate students in the statistical and applied mathematics communities.
NBS Special Publication
Author: Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 574
Book Description
Statistics for Censored Environmental Data Using Minitab and R
Author: Dennis R. HelselPublisher: John Wiley & Sons
ISBN: 0470479884
Category : Mathematics
Languages : en
Pages : 344
Book Description
Praise for the First Edition " . . . an excellent addition to an upper-level undergraduate course on environmental statistics, and . . . a 'must-have' desk reference for environmental practitioners dealing with censored datasets." —Vadose Zone Journal Statistics for Censored Environmental Data Using Minitab® and R, Second Edition introduces and explains methods for analyzing and interpreting censored data in the environmental sciences. Adapting survival analysis techniques from other fields, the book translates well-established methods from other disciplines into new solutions for environmental studies. This new edition applies methods of survival analysis, including methods for interval-censored data to the interpretation of low-level contaminants in environmental sciences and occupational health. Now incorporating the freely available R software as well as Minitab® into the discussed analyses, the book features newly developed and updated material including: A new chapter on multivariate methods for censored data Use of interval-censored methods for treating true nondetects as lower than and separate from values between the detection and quantitation limits ("remarked data") A section on summing data with nondetects A newly written introduction that discusses invasive data, showing why substitution methods fail Expanded coverage of graphical methods for censored data The author writes in a style that focuses on applications rather than derivations, with chapters organized by key objectives such as computing intervals, comparing groups, and correlation. Examples accompany each procedure, utilizing real-world data that can be analyzed using the Minitab® and R software macros available on the book's related website, and extensive references direct readers to authoritative literature from the environmental sciences. Statistics for Censored Environmental Data Using Minitab® and R, Second Edition is an excellent book for courses on environmental statistics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for??environmental professionals, biologists, and ecologists who focus on the water sciences, air quality, and soil science.
Author: