Multivariate Nonparametric Methods with R

Download Multivariate Nonparametric Methods with R PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1441904689
Total Pages : 239 pages
Book Rating : 4.4/5 (419 download)

DOWNLOAD NOW!


Book Synopsis Multivariate Nonparametric Methods with R by : Hannu Oja

Download or read book Multivariate Nonparametric Methods with R written by Hannu Oja and published by Springer Science & Business Media. This book was released on 2010-03-25 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a new, fairly efficient, and robust alternative to analyzing multivariate data. The analysis of data based on multivariate spatial signs and ranks proceeds very much as does a traditional multivariate analysis relying on the assumption of multivariate normality; the regular L2 norm is just replaced by different L1 norms, observation vectors are replaced by spatial signs and ranks, and so on. A unified methodology starting with the simple one-sample multivariate location problem and proceeding to the general multivariate multiple linear regression case is presented. Companion estimates and tests for scatter matrices are considered as well. The R package MNM is available for computation of the procedures. This monograph provides an up-to-date overview of the theory of multivariate nonparametric methods based on spatial signs and ranks. The classical book by Puri and Sen (1971) uses marginal signs and ranks and different type of L1 norm. The book may serve as a textbook and a general reference for the latest developments in the area. Readers are assumed to have a good knowledge of basic statistical theory as well as matrix theory. Hannu Oja is an academy professor and a professor in biometry in the University of Tampere. He has authored and coauthored numerous research articles in multivariate nonparametrical and robust methods as well as in biostatistics.

Nonparametric Methods in Statistics and Related Topics

Download Nonparametric Methods in Statistics and Related Topics PDF Online Free

Author :
Publisher : Walter de Gruyter
ISBN 13 : 3110917815
Total Pages : 804 pages
Book Rating : 4.1/5 (19 download)

DOWNLOAD NOW!


Book Synopsis Nonparametric Methods in Statistics and Related Topics by : Madan Lal Puri

Download or read book Nonparametric Methods in Statistics and Related Topics written by Madan Lal Puri and published by Walter de Gruyter. This book was released on 2013-02-06 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Methods for Statistical Data Analysis of Multivariate Observations

Download Methods for Statistical Data Analysis of Multivariate Observations PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 1118030923
Total Pages : 386 pages
Book Rating : 4.1/5 (18 download)

DOWNLOAD NOW!


Book Synopsis Methods for Statistical Data Analysis of Multivariate Observations by : R. Gnanadesikan

Download or read book Methods for Statistical Data Analysis of Multivariate Observations written by R. Gnanadesikan and published by John Wiley & Sons. This book was released on 2011-01-25 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide for multivariate statistical techniques-- nowupdated and revised In recent years, innovations in computer technology and statisticalmethodologies have dramatically altered the landscape ofmultivariate data analysis. This new edition of Methods forStatistical Data Analysis of Multivariate Observations explorescurrent multivariate concepts and techniques while retaining thesame practical focus of its predecessor. It integrates methods anddata-based interpretations relevant to multivariate analysis in away that addresses real-world problems arising in many areas ofinterest. Greatly revised and updated, this Second Edition provides helpfulexamples, graphical orientation, numerous illustrations, and anappendix detailing statistical software, including the S (or Splus)and SAS systems. It also offers * An expanded chapter on cluster analysis that covers advances inpattern recognition * New sections on inputs to clustering algorithms and aids forinterpreting the results of cluster analysis * An exploration of some new techniques of summarization andexposure * New graphical methods for assessing the separations among theeigenvalues of a correlation matrix and for comparing sets ofeigenvectors * Knowledge gained from advances in robust estimation anddistributional models that are slightly broader than themultivariate normal This Second Edition is invaluable for graduate students, appliedstatisticians, engineers, and scientists wishing to usemultivariate techniques in a variety of disciplines.

Some Bayes Risk Consistent Non-parametric Methods for Classification

Download Some Bayes Risk Consistent Non-parametric Methods for Classification PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 244 pages
Book Rating : 4.:/5 (89 download)

DOWNLOAD NOW!


Book Synopsis Some Bayes Risk Consistent Non-parametric Methods for Classification by : Pi-yeong Chi

Download or read book Some Bayes Risk Consistent Non-parametric Methods for Classification written by Pi-yeong Chi and published by . This book was released on 1975 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Studies in Econometrics, Time Series, and Multivariate Statistics

Download Studies in Econometrics, Time Series, and Multivariate Statistics PDF Online Free

Author :
Publisher : Academic Press
ISBN 13 : 1483268039
Total Pages : 591 pages
Book Rating : 4.4/5 (832 download)

DOWNLOAD NOW!


Book Synopsis Studies in Econometrics, Time Series, and Multivariate Statistics by : Samuel Karlin

Download or read book Studies in Econometrics, Time Series, and Multivariate Statistics written by Samuel Karlin and published by Academic Press. This book was released on 2014-05-10 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studies in Econometrics, Time Series, and Multivariate Statistics covers the theoretical and practical aspects of econometrics, social sciences, time series, and multivariate statistics. This book is organized into three parts encompassing 28 chapters. Part I contains studies on logit model, normal discriminant analysis, maximum likelihood estimation, abnormal selection bias, and regression analysis with a categorized explanatory variable. This part also deals with prediction-based tests for misspecification in nonlinear simultaneous systems and the identification in models with autoregressive errors. Part II highlights studies in time series, including time series analysis of error-correction models, time series model identification, linear random fields, segmentation of time series, and some basic asymptotic theory for linear processes in time series analysis. Part III contains papers on optimality properties in discrete multivariate analysis, Anderson's probability inequality, and asymptotic distributions of test statistics. This part also presents the comparison of measures, multivariate majorization, and of experiments for some multivariate normal situations. Studies on Bayes procedures for combining independent F tests and the limit theorems on high dimensional spheres and Stiefel manifolds are included. This book will prove useful to statisticians, mathematicians, and advance mathematics students.

Multivariate Analysis

Download Multivariate Analysis PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 620 pages
Book Rating : 4.:/5 (31 download)

DOWNLOAD NOW!


Book Synopsis Multivariate Analysis by :

Download or read book Multivariate Analysis written by and published by . This book was released on 1966 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multivariate Analysis—III

Download Multivariate Analysis—III PDF Online Free

Author :
Publisher : Academic Press
ISBN 13 : 1483265137
Total Pages : 429 pages
Book Rating : 4.4/5 (832 download)

DOWNLOAD NOW!


Book Synopsis Multivariate Analysis—III by : Paruchuri R. Krishnaiah

Download or read book Multivariate Analysis—III written by Paruchuri R. Krishnaiah and published by Academic Press. This book was released on 2014-05-12 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate Analysis — III contains the proceedings of the Third International Symposium on Multivariate Analysis held at Wright State University in Dayton, Ohio, on June 19-24, 1972. The papers explore the theory and applications of multivariate analysis and cover areas such as time series and stochastic processes; distribution theory and inference; characteristic functions and characterizations; and design and analysis of experiments. Classification, modeling, and reliability are also discussed. Comprised of 27 chapters, this volume begins with an introduction to two-dimensional random fields, giving results for a class of Gaussian processes with a multidimensional time parameter. The next chapter deals with concepts of consistency in spectral estimation for multivariate time series and considers the alternative of estimating the spectral distribution function or the spectral density function. Abstract martingales and ergodic theory are also examined, along with methods for assessing multivariate normality; inference and redundant parameters; characterization of the multivariate geometric distribution; and max-min designs in the analysis of variance. This monograph will be useful to statisticians and probabilists, as well as to scientists in other disciplines who are broadly interested in multivariate analysis.

A Probabilistic Theory of Pattern Recognition

Download A Probabilistic Theory of Pattern Recognition PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1461207118
Total Pages : 631 pages
Book Rating : 4.4/5 (612 download)

DOWNLOAD NOW!


Book Synopsis A Probabilistic Theory of Pattern Recognition by : Luc Devroye

Download or read book A Probabilistic Theory of Pattern Recognition written by Luc Devroye and published by Springer Science & Business Media. This book was released on 2013-11-27 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.

Multivariate Observations

Download Multivariate Observations PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 9780471691211
Total Pages : 722 pages
Book Rating : 4.6/5 (912 download)

DOWNLOAD NOW!


Book Synopsis Multivariate Observations by : George A. F. Seber

Download or read book Multivariate Observations written by George A. F. Seber and published by John Wiley & Sons. This book was released on 2004-08-24 with total page 722 pages. Available in PDF, EPUB and Kindle. Book excerpt: WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "In recent years many monographs have been published on specialized aspects of multivariate data-analysis–on cluster analysis, multidimensional scaling, correspondence analysis, developments of discriminant analysis, graphical methods, classification, and so on. This book is an attempt to review these newer methods together with the classical theory. . . . This one merits two cheers." –J. C. Gower, Department of Statistics Rothamsted Experimental Station, Harpenden, U.K. Review in Biometrics, June 1987 Multivariate Observations is a comprehensive sourcebook that treats data-oriented techniques as well as classical methods. Emphasis is on principles rather than mathematical detail, and coverage ranges from the practical problems of graphically representing high-dimensional data to the theoretical problems relating to matrices of random variables. Each chapter serves as a self-contained survey of a specific topic. The book includes many numerical examples and over 1,100 references.

NASA Technical Note

Download NASA Technical Note PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 748 pages
Book Rating : 4.:/5 (319 download)

DOWNLOAD NOW!


Book Synopsis NASA Technical Note by :

Download or read book NASA Technical Note written by and published by . This book was released on 1976 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advancement of Data Processing Methods for Artificial and Computing Intelligence

Download Advancement of Data Processing Methods for Artificial and Computing Intelligence PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 1003810950
Total Pages : 431 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!


Book Synopsis Advancement of Data Processing Methods for Artificial and Computing Intelligence by : Seema Rawat

Download or read book Advancement of Data Processing Methods for Artificial and Computing Intelligence written by Seema Rawat and published by CRC Press. This book was released on 2024-04-26 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book emphasizes the applications of advances in data processing methods for Artificial Intelligence in today's fast-changing world, as well as to serve society through research, innovation, and development in this field. This book is applicable to a wide range of data that contribute to data science concerns and can be used to promote research in this high-potential new field. People's perceptions of the world and how they conduct their lives have changed dramatically as a result of technological advancements. The world has been gripped by technology, and the advances that are being made every day are undeniably transforming the planet. In the domains of Big Data, engineering, and data science, this cutting-edge technology is ready to support us. Artificial intelligence (AI) is a current research topic because it can be applied to a wide range of applications and disciplines to solve complicated problems and find optimal solutions. In research, medicine, technology, and the social sciences, the benefits of AI have already been proven. Data science, also known as pattern analytics and mining, is a technique for extracting useful and relevant information from databases, enabling better decision-making and strategy formulation in a range of fields. As a result of the exponential growth of data in recent years, the combined notions of big data and AI have given rise to many study areas, such as scale-up behaviour from classical algorithms. Furthermore, combining numerous AI technologies from other areas (such as vision, security, control, and biology) in order to build efficient and durable systems that interact in the real world is a new problem. Despite recent improvements in fundamental AI technologies, the integration of these skills into larger, trustworthy, transparent, and maintainable systems is still in its development. Both conceptually and practically, there are a number of unanswered issues.

University of Michigan Official Publication

Download University of Michigan Official Publication PDF Online Free

Author :
Publisher : UM Libraries
ISBN 13 :
Total Pages : 760 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!


Book Synopsis University of Michigan Official Publication by : University of Michigan

Download or read book University of Michigan Official Publication written by University of Michigan and published by UM Libraries. This book was released on 1972 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each number is the catalogue of a specific school or college of the University.

Discriminant Analysis and Statistical Pattern Recognition

Download Discriminant Analysis and Statistical Pattern Recognition PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 0471725285
Total Pages : 552 pages
Book Rating : 4.4/5 (717 download)

DOWNLOAD NOW!


Book Synopsis Discriminant Analysis and Statistical Pattern Recognition by : Geoffrey J. McLachlan

Download or read book Discriminant Analysis and Statistical Pattern Recognition written by Geoffrey J. McLachlan and published by John Wiley & Sons. This book was released on 2005-02-25 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "For both applied and theoretical statisticians as well as investigators working in the many areas in which relevant use can be made of discriminant techniques, this monograph provides a modern, comprehensive, and systematic account of discriminant analysis, with the focus on the more recent advances in the field." –SciTech Book News ". . . a very useful source of information for any researcher working in discriminant analysis and pattern recognition." –Computational Statistics Discriminant Analysis and Statistical Pattern Recognition provides a systematic account of the subject. While the focus is on practical considerations, both theoretical and practical issues are explored. Among the advances covered are regularized discriminant analysis and bootstrap-based assessment of the performance of a sample-based discriminant rule, and extensions of discriminant analysis motivated by problems in statistical image analysis. The accompanying bibliography contains over 1,200 references.

Applied Nonparametric Regression

Download Applied Nonparametric Regression PDF Online Free

Author :
Publisher : Cambridge University Press
ISBN 13 : 9780521429504
Total Pages : 356 pages
Book Rating : 4.4/5 (295 download)

DOWNLOAD NOW!


Book Synopsis Applied Nonparametric Regression by : Wolfgang Härdle

Download or read book Applied Nonparametric Regression written by Wolfgang Härdle and published by Cambridge University Press. This book was released on 1990 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to bring together in one place the techniques for regression curve smoothing involving more than one variable.

Handbook of Parametric and Nonparametric Statistical Procedures

Download Handbook of Parametric and Nonparametric Statistical Procedures PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 :
Total Pages : 760 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!


Book Synopsis Handbook of Parametric and Nonparametric Statistical Procedures by : David Sheskin

Download or read book Handbook of Parametric and Nonparametric Statistical Procedures written by David Sheskin and published by CRC Press. This book was released on 1997 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers unparalleled coverage of parametric and nonparametric statistical procedures: Detailing nearly 75 statistical procedures, the text shows: - How to select and conduct the appropiate statistical analysis for evaluating data from an empirical study - How to discriminate acceptable from unacceptable research when considering experimental control, and statistical analysis - How to interpret and better understand results of published research across a spectrum of disciplines

Multivariate Statistical Simulation

Download Multivariate Statistical Simulation PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 9780471822905
Total Pages : 256 pages
Book Rating : 4.8/5 (229 download)

DOWNLOAD NOW!


Book Synopsis Multivariate Statistical Simulation by : Mark E. Johnson

Download or read book Multivariate Statistical Simulation written by Mark E. Johnson and published by John Wiley & Sons. This book was released on 1987-02-04 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides state-of-the-art coverage for the researcher confronted with designing and executing a simulation study using continuous multivariate distributions. Concise writing style makes the book accessible to a wide audience. Well-known multivariate distributions are described, emphasizing a few representative cases from each distribution. Coverage includes Pearson Types II and VII elliptically contoured distributions, Khintchine distributions, and the unifying class for the Burr, Pareto, and logistic distributions. Extensively illustrated--the figures are unique, attractive, and reveal very nicely what distributions ``look like.'' Contains an extensive and up-to-date bibliography culled from journals in statistics, operations research, mathematics, and computer science.

Practical Nonparametric Statistics

Download Practical Nonparametric Statistics PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 506 pages
Book Rating : 4.:/5 (319 download)

DOWNLOAD NOW!


Book Synopsis Practical Nonparametric Statistics by : W. J. Conover

Download or read book Practical Nonparametric Statistics written by W. J. Conover and published by . This book was released on 1980-09-17 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability theory; Statistical inference; Some tests based on the binomial distribution; Contingency tables; Some methods based on ranks; Statistics of the koolmogorov-smirnov type.