Statistique non Parametrique Asymptotique

Actes des Journees Statistiques, Rouen, France, Juin 1979 J.P. Raoult. INTRODUCTION Ce volume regroupe 7 des exposés qui ont été présentés aux "Journées Statistiques", consacrées à la Statistique non paramétrique asymptotique, ...

Author: J.P. Raoult

Publisher: Springer

ISBN: 9783540383185

Category: Mathematics

Page: 91

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Mathematical Statistics and Limit Theorems

Bulletin de l'Académie Royale de Belgique, Classe des Sciences (5) 65, f.6, 274–292 [MR #81h:62073] Non-parametric tests ofindependence (1980). In: Statistique Non Paramétrique Asymptotique (J. P. Raoult, Edit.)95–107, Lecture Notes in ...

Author: Marc Hallin

Publisher: Springer

ISBN: 9783319124421

Category: Mathematics

Page: 326

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This Festschrift in honour of Paul Deheuvels’ 65th birthday compiles recent research results in the area between mathematical statistics and probability theory with a special emphasis on limit theorems. The book brings together contributions from invited international experts to provide an up-to-date survey of the field. Written in textbook style, this collection of original material addresses researchers, PhD and advanced Master students with a solid grasp of mathematical statistics and probability theory.
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Asymptotic Theory for Non I I D Processes

Bosq , D. ( 1983 ) , " Non parametric prediction for a stationary process " , in Specifying Statistical Models . ... avec noyau : quelques propriétés de convergence ponctuelle " , dans Statistique non paramétrique asymptotique , ed .

Author: J. P. Florens

Publisher: Facultes Universitaires Saint-Louis

ISBN: UOM:39015015628046

Category: Asymptotic distribution (Probability theory)

Page: 242

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Nonparametric Methods in Statistics and Related Topics

A unified approach to the asymptotic distribution theory of certain midrank statistics. In: Statistique non Parametrique Asymptotique, 1—18, J.P. Raoult (Ed.), Lecture Notes on Mathematics, No. 821, Springer, Berlin. SEN, P. K. (1967).

Author: Madan Lal Puri

Publisher: Walter de Gruyter

ISBN: 9783110917819

Category: Mathematics

Page: 803

View: 637

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Professor Puri is one of the most versatile and prolific researchers in the world in mathematical statistics. His research areas include nonparametric statistics, order statistics, limit theory under mixing, time series, splines, tests of normality, generalized inverses of matrices and related topics, stochastic processes, statistics of directional data, random sets, and fuzzy sets and fuzzy measures. His fundamental contributions in developing new rank-based methods and precise evaluation of the standard procedures, asymptotic expansions of distributions of rank statistics, as well as large deviation results concerning them, span such areas as analysis of variance, analysis of covariance, multivariate analysis, and time series, to mention a few. His in-depth analysis has resulted in pioneering research contributions to prominent journals that have substantial impact on current research. This book together with the other two volumes (Volume 2: Probability Theory and Extreme Value Theory; Volume 3: Time Series, Fuzzy Analysis and Miscellaneous Topics), are a concerted effort to make his research works easily available to the research community. The sheer volume of the research output by him and his collaborators, coupled with the broad spectrum of the subject matters investigated, and the great number of outlets where the papers were published, attach special significance in making these works easily accessible. The papers selected for inclusion in this work have been classified into three volumes each consisting of several parts. All three volumes carry a final part consisting of the contents of the other two, as well as the complete list of Professor Puri's publications.
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Madan Lal Puri Selected Collected Works

We deduce that V n 2 no , 1 K2 S ) < - , which implies --E ( S . ) → K2 as n → 00 n and Lemma 4.3 is proved . Acknowledgments . ... Statistique non Paramétrique Asymptotique . Lecture Notes in Math . 821 19-45 . Springer , Berlin .

Author: Madan Lal Puri

Publisher: VSP

ISBN: 9067643866

Category: Science

Page: 773

View: 168

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Professor Puri is one of the most versatile and prolific researchers in the world in mathematical statistics. His research areas include nonparametric statistics, order statistics, limit theory under mixing, time series, splines, tests of normality, generalized inverses of matrices and related topics, stochastic processes, statistics of directional data, random sets, and fuzzy sets and fuzzy measures. His fundamental contributions in developing new rank-based methods and precise evaluation of the standard procedures, asymptotic expansions of distributions of rank statistics, as well as large deviation results concerning them, span such areas as analysis of variance, analysis of covariance, multivariate analysis, and time series, to mention a few. His in-depth analysis has resulted in pioneering research contributions to prominent journals that have substantial impact on current research. This book together with the other two volumes (Volume 1: Nonparametric Methods in Statistics and Related Topics; Volume 2: Probability Theory and Extreme Value Theory), are a concerted effort to make his research works easily available to the research community. The sheer volume of the research output by him and his collaborators, coupled with the broad spectrum of the subject matters investigated, and the great number of outlets where the papers were published, attach special significance in making these works easily accessible. The papers selected for inclusion in this work have been classified into three volumes each consisting of several parts. All three volumes carry a final part consisting of the contents of the other two, as well as the complete list of Professor Puri's publications.
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Time Series Fuzzy Analysis and Miscellaneous Topics

Normalité asymptotique des processus empiriques tronqués et des processus de rang. Statistique non Paramétrique Asymptotique. Lecture Notes in Math. 821 19-45. Springer, Berlin. BILLINGSLEY, P. (1968).

Author: Madan Lal Puri

Publisher: Walter de Gruyter

ISBN: 9783110917833

Category: Mathematics

Page: 789

View: 814

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Professor Puri is one of the most versatile and prolific researchers in the world in mathematical statistics. His research areas include nonparametric statistics, order statistics, limit theory under mixing, time series, splines, tests of normality, generalized inverses of matrices and related topics, stochastic processes, statistics of directional data, random sets, and fuzzy sets and fuzzy measures. His fundamental contributions in developing new rank-based methods and precise evaluation of the standard procedures, asymptotic expansions of distributions of rank statistics, as well as large deviation results concerning them, span such areas as analysis of variance, analysis of covariance, multivariate analysis, and time series, to mention a few. His in-depth analysis has resulted in pioneering research contributions to prominent journals that have substantial impact on current research.This book together with the other two volumes (Volume 1: Nonparametric Methods in Statistics and Related Topics; Volume 2: Probability Theory and Extreme Value Theory), are a concerted effort to make his research works easily available to the research community. The sheer volume of the research output by him and his collaborators, coupled with the broad spectrum of the subject matters investigated, and the great number of outlets where the papers were published, attach special significance in making these works easily accessible.The papers selected for inclusion in this work have been classified into three volumes each consisting of several parts. All three volumes carry a final part consisting of the contents of the other two, as well as the complete list of Professor Puri's publications.
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Asymptotic Theory of Testing Statistical Hypotheses

Asymptotic Expansions and the Deficiency Concept in Statistics . ... Asymptotic expansions for the power of one - sample rank tests against continuous nonparametric alternatives . ... Statistique non Paramétrique Asymptotique .

Author: Vladimir E. Bening

Publisher: VSP

ISBN: 9067643238

Category: Mathematics

Page: 277

View: 472

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The series is devoted to the publication of high-level monographs and surveys which cover the whole spectrum of probability and statistics. The books of the series are addressed to both experts and advanced students.
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Permutation Tests for Complex Data

A unified approach to the asymptotic distribution theory of certain midrank statistics. In J. P. Raoult (ed.), Statistique non Paramétrique Asymptotique, Lecture Notes in Mathematics, 821. Berlin: Springer-Verlag, pp. 1–18.

Author: Fortunato Pesarin

Publisher: John Wiley & Sons

ISBN: 0470689528

Category: Mathematics

Page: 448

View: 993

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Complex multivariate testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. As a result, modern statistics needs permutation testing for complex data with low sample size and many variables, especially in observational studies. The Authors give a general overview on permutation tests with a focus on recent theoretical advances within univariate and multivariate complex permutation testing problems, this book brings the reader completely up to date with today’s current thinking. Key Features: Examines the most up-to-date methodologies of univariate and multivariate permutation testing. Includes extensive software codes in MATLAB, R and SAS, featuring worked examples, and uses real case studies from both experimental and observational studies. Includes a standalone free software NPC Test Release 10 with a graphical interface which allows practitioners from every scientific field to easily implement almost all complex testing procedures included in the book. Presents and discusses solutions to the most important and frequently encountered real problems in multivariate analyses. A supplementary website containing all of the data sets examined in the book along with ready to use software codes. Together with a wide set of application cases, the Authors present a thorough theory of permutation testing both with formal description and proofs, and analysing real case studies. Practitioners and researchers, working in different scientific fields such as engineering, biostatistics, psychology or medicine will benefit from this book.
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Introduction to Statistical Methods

Inference: From the above results, we can infer that survival time is not different among different groups as p value is ... Choosing between parametric and non-parametric tests. ... In Statistique non paramétrique asymptotique (pp.

Author: Editor IJSMI

Publisher: International Journal of Statistics and Medical Informatics

ISBN: 9798629947158

Category: Mathematics

Page: 118

View: 544

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Statistical Methods are widely used in Medical, Biological, Clinical, Business and Engineering field. The data which form the basis for the statistical methods helps us to take scientific and informed decisions. Statistical methods deal with the collection, compilation, analysis and making inference from the data. Statistical knowledge is also essential for the emerging field such as Machine Learning, Deep Learning and Artificial intelligence. This book deals with the statistical methods such as Probability, Sampling, Correlation, Regression and Hypothesis Testing and non-parametric tests and advanced statistical models. Examples discussed in the book are from different areas such as clinical, financial and marketing. The book uses open source R statistical software to carry out different statistical analysis with sample datasets. This book is third in series of Statistics books by the Author. Some of the contents are adopted from the author’s previous statistical books: Essentials of Biostatistics an overview with the help of software (ISBN-97817237120740) Editor International Journal of Statistics and Medical Informatics www.ijsmi.com/book.php www.amazon.com/dp/B0868TWQ6M- e-Book
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