Author: J. R. Blum
Publisher:
ISBN:
Category : Sampling (Statistics)
Languages : en
Pages : 18
Book Description
Distribution Free Tests of Independence Based on the Sample Distribution Function
Author: J. R. Blum
Publisher:
ISBN:
Category : Sampling (Statistics)
Languages : en
Pages : 18
Book Description
Publisher:
ISBN:
Category : Sampling (Statistics)
Languages : en
Pages : 18
Book Description
Distribution Theory for Tests Based on the Sample Distribution Function
Author: J. Durbin
Publisher: SIAM
ISBN: 9781611970586
Category : Mathematics
Languages : en
Pages : 70
Book Description
Presents a coherent body of theory for the derivation of the sampling distributions of a wide range of test statistics. Emphasis is on the development of practical techniques. A unified treatment of the theory was attempted, e.g., the author sought to relate the derivations for tests on the circle and the two-sample problem to the basic theory for the one-sample problem on the line. The Markovian nature of the sample distribution function is stressed, as it accounts for the elegance of many of the results achieved, as well as the close relation with parts of the theory of stochastic processes.
Publisher: SIAM
ISBN: 9781611970586
Category : Mathematics
Languages : en
Pages : 70
Book Description
Presents a coherent body of theory for the derivation of the sampling distributions of a wide range of test statistics. Emphasis is on the development of practical techniques. A unified treatment of the theory was attempted, e.g., the author sought to relate the derivations for tests on the circle and the two-sample problem to the basic theory for the one-sample problem on the line. The Markovian nature of the sample distribution function is stressed, as it accounts for the elegance of many of the results achieved, as well as the close relation with parts of the theory of stochastic processes.
Introductory Business Statistics 2e
Author: Alexander Holmes
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 1801
Book Description
Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 1801
Book Description
Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. This is an adaptation of Introductory Business Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.
NBS Special Publication
Author:
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 574
Book Description
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 574
Book Description
Goodness-of-Fit Tests and Model Validity
Author: C. Huber-Carol
Publisher: Springer Science & Business Media
ISBN: 1461201039
Category : Mathematics
Languages : en
Pages : 512
Book Description
The 37 expository articles in this volume provide broad coverage of important topics relating to the theory, methods, and applications of goodness-of-fit tests and model validity. The book is divided into eight parts, each of which presents topics written by expert researchers in their areas. Key features include: * state-of-the-art exposition of modern model validity methods, graphical techniques, and computer-intensive methods * systematic presentation with sufficient history and coverage of the fundamentals of the subject * exposure to recent research and a variety of open problems * many interesting real life examples for practitioners * extensive bibliography, with special emphasis on recent literature * subject index This comprehensive reference work will serve the statistical and applied mathematics communities as well as practitioners in the field.
Publisher: Springer Science & Business Media
ISBN: 1461201039
Category : Mathematics
Languages : en
Pages : 512
Book Description
The 37 expository articles in this volume provide broad coverage of important topics relating to the theory, methods, and applications of goodness-of-fit tests and model validity. The book is divided into eight parts, each of which presents topics written by expert researchers in their areas. Key features include: * state-of-the-art exposition of modern model validity methods, graphical techniques, and computer-intensive methods * systematic presentation with sufficient history and coverage of the fundamentals of the subject * exposure to recent research and a variety of open problems * many interesting real life examples for practitioners * extensive bibliography, with special emphasis on recent literature * subject index This comprehensive reference work will serve the statistical and applied mathematics communities as well as practitioners in the field.
Change Point Analysis for Time Series
Author: Lajos Horváth
Publisher: Springer Nature
ISBN: 3031516095
Category :
Languages : en
Pages : 552
Book Description
Publisher: Springer Nature
ISBN: 3031516095
Category :
Languages : en
Pages : 552
Book Description
Change-point Problems
Author: Edward G. Carlstein
Publisher: IMS
ISBN: 9780940600348
Category : Mathematics
Languages : en
Pages : 400
Book Description
Publisher: IMS
ISBN: 9780940600348
Category : Mathematics
Languages : en
Pages : 400
Book Description
Topics In Circular Statistics-vol 5
Author: S Rao Jammalamadaka
Publisher: World Scientific
ISBN: 9814495247
Category : Mathematics
Languages : en
Pages : 336
Book Description
This research monograph on circular data analysis covers some recent advances in the field, besides providing a brief introduction to, and a review of, existing methods and models. The primary focus is on recent research into topics such as change-point problems, predictive distributions, circular correlation and regression, etc. An important feature of this work is the S-plus subroutines provided for analyzing actual data sets. Coupled with the discussion of new theoretical research, the book should benefit both the researcher and the practitioner.
Publisher: World Scientific
ISBN: 9814495247
Category : Mathematics
Languages : en
Pages : 336
Book Description
This research monograph on circular data analysis covers some recent advances in the field, besides providing a brief introduction to, and a review of, existing methods and models. The primary focus is on recent research into topics such as change-point problems, predictive distributions, circular correlation and regression, etc. An important feature of this work is the S-plus subroutines provided for analyzing actual data sets. Coupled with the discussion of new theoretical research, the book should benefit both the researcher and the practitioner.
Sandia Corporation Bibliography
Author:
Publisher:
ISBN:
Category : Nuclear engineering
Languages : en
Pages : 76
Book Description
Publisher:
ISBN:
Category : Nuclear engineering
Languages : en
Pages : 76
Book Description
Algorithmic Learning Theory
Author: Yoav Freund
Publisher: Springer Science & Business Media
ISBN: 3540879862
Category : Computers
Languages : en
Pages : 480
Book Description
This book constitutes the refereed proceedings of the 19th International Conference on Algorithmic Learning Theory, ALT 2008, held in Budapest, Hungary, in October 2008, co-located with the 11th International Conference on Discovery Science, DS 2008. The 31 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 46 submissions. The papers are dedicated to the theoretical foundations of machine learning; they address topics such as statistical learning; probability and stochastic processes; boosting and experts; active and query learning; and inductive inference.
Publisher: Springer Science & Business Media
ISBN: 3540879862
Category : Computers
Languages : en
Pages : 480
Book Description
This book constitutes the refereed proceedings of the 19th International Conference on Algorithmic Learning Theory, ALT 2008, held in Budapest, Hungary, in October 2008, co-located with the 11th International Conference on Discovery Science, DS 2008. The 31 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 46 submissions. The papers are dedicated to the theoretical foundations of machine learning; they address topics such as statistical learning; probability and stochastic processes; boosting and experts; active and query learning; and inductive inference.