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Author: J. S. Maritz
Publisher: Springer
Published: 1981
Total Pages: 282
ISBN-13:
DOWNLOAD EBOOK →Basic concepts in distribution-free methods; One-sample location problems; Miscellaneous one-sample problems; Two-sample problems; Straight-line regression; Multiple regression and general linear models; Bivariate problems; Appendix; Bibliography.
Author: J.S. Maritz
Publisher: CRC Press
Published: 2020-11-25
Total Pages: 268
ISBN-13: 1000109968
DOWNLOAD EBOOK →Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population in question. They are widely used, especially in the areas of medical and psychological research. This new edition is aimed at senior undergraduate and graduate level. It also includes a discussion of new techniques that have arisen as a result of improvements in statistical computing. Interest in estimation techniques has particularly grown, and this section of the book has been expanded accordingly. Finally, Distribution-Free Statistical Methods includes more examples with actual data sets appearing in the text.
Author: James Vandiver Bradley
Publisher: Prentice Hall
Published: 1968
Total Pages: 410
ISBN-13:
DOWNLOAD EBOOK →For students, statisticians, and other research workers.
Author: Peter Sprent
Publisher: CRC Press
Published: 2016-04-19
Total Pages: 536
ISBN-13: 1439894019
DOWNLOAD EBOOK →While preserving the clear, accessible style of previous editions, Applied Nonparametric Statistical Methods, Fourth Edition reflects the latest developments in computer-intensive methods that deal with intractable analytical problems and unwieldy data sets. Reorganized and with additional material, this edition begins with a brief summary of some
Author: J.S. Maritz
Publisher: CRC Press
Published: 2020-11-26
Total Pages: 279
ISBN-13: 1000153002
DOWNLOAD EBOOK →Distribution-free statistical methods enable users to make statistical inferences with minimum assumptions about the population in question. They are widely used, especially in the areas of medical and psychological research. This new edition is aimed at senior undergraduate and graduate level. It also includes a discussion of new techniques that have arisen as a result of improvements in statistical computing. Interest in estimation techniques has particularly grown, and this section of the book has been expanded accordingly. Finally, Distribution-Free Statistical Methods includes more examples with actual data sets appearing in the text.
Author: D.R. Helsel
Publisher: Elsevier
Published: 1993-03-03
Total Pages: 546
ISBN-13: 9780080875088
DOWNLOAD EBOOK →Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources. The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies. The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.
Author: László Györfi
Publisher: Springer Science & Business Media
Published: 2006-04-18
Total Pages: 662
ISBN-13: 0387224424
DOWNLOAD EBOOK →This book provides a systematic in-depth analysis of nonparametric regression with random design. It covers almost all known estimates. The emphasis is on distribution-free properties of the estimates.
Author: Eugene S. Edgington
Publisher: New York : Toronto : McGraw-Hill
Published: 1969
Total Pages: 232
ISBN-13:
DOWNLOAD EBOOK →Author:
Publisher:
Published: 2020
Total Pages: 261
ISBN-13: 9783030250829
DOWNLOAD EBOOK →This book explores nonparametric statistical process control. It provides an up-to-date overview of nonparametric Shewhart-type univariate control charts, and reviews the recent literature on nonparametric charts, particularly multivariate schemes. Further, it discusses observations tied to the monitored population quantile, focusing on the Shewhart Sign chart. The book also addresses the issue of practically assuming the normality and the independence when a process is statistically monitored, and examines in detail change-point analysis-based distribution-free control charts designed for Phase I applications. Moreover, it introduces six distribution-free EWMA schemes for simultaneously monitoring the location and scale parameters of a univariate continuous process, and establishes two nonparametric Shewhart-type control charts based on order statistics with signaling runs-type rules. Lastly, the book proposes novel and effective method for early disease detection.
