This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The i
Nonparametric Statistical Methods For Complete and Censored Data
β Scribed by M.M. Desu (Author); D. Raghavarao (Author)
- Publisher
- Chapman and Hall/CRC
- Year
- 2003
- Leaves
- 384
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Balancing the "cookbook" approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for Complete and Censored Data introduces commonly used non-parametric methods for complete data and extends those methods to right censored data analysis. Whenever possible, the authors derive their methodology from the
β¦ Table of Contents
Procedures for a Single Sample. Procedures for Two Independent Samples. Procedures for Related Samples. Procedures for Several Samples. Independence, Correlation, and Regression.
β¦ Subjects
Behavioral Sciences;Psychological Science;Psychological Methods & Statistics;Quantitative Methods;Bioscience;Biology;Statistics for the Biological Sciences;Mathematics & Statistics;Statistics & Probability;Statistics;Statistical Theory & Methods
π SIMILAR VOLUMES
Wiley, 2011.- 233 pages. ISBN: 1848212895, 978-1848212893.<div class="bb-sep"></div>This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated data are considered. Most of the test results are proved and real app
This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises ar
Wiley. 2011 - 320 pages. ISBN: 1848212690, 978-1848212695.<br/>This book concerns testing hypotheses in nonβparametric models. Classical nonβparametric tests (goodnessβofβfit, homogeneity, randomness, independence) of complete data are considered. Most of the test results are proved and real applica
The number of books on Nonparametric Methodology is quite small as compared to, say, on Design of Experiments, Regression Analysis, Multivariate Analysis, etc. Because of being perceived as less effective, nonparametric methods are still the second choice. Actually, it has been demonstrated time and