Contemporary Multivariate Analysis And Design Of Experiments

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Contemporary Multivariate Analysis and Design of Experiments

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Author by : Kaitai Fang
Languange Used : English, France, Spanish, Italia and chinese
Page : 469
Isbn : 9812567763
Identifier : 9789812567765
Release : 2005
Publisher by : World Scientific
Category : Mathematics
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Contemporary Multivariate Analysis and Design of Experiments 'In Celebration of Professor Kai-Tai Fang''s 65th Birthday'

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Author by : Jianqing Fan
Languange Used : English, France, Spanish, Italia and chinese
Page : 468
Isbn : 9814481203
Identifier : 9789814481205
Release : 2005-03-22
Publisher by : World Scientific
Category : Mathematics
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Description : Read Now Contemporary Multivariate Analysis And Design Of Experiments by Jianqing Fan and you can download with pub, pdf, txt, doc, and more file format with free account. this book furthers new and exciting developments in experimental designs, multivariate analysis, biostatistics, model selection and related subjects. it features articles contributed by many prominent and active figures in their fields. these articles cover a wide array of important issues in modern statistical theory, methods and their applications. distinctive features of the collections of articles are their coherence and advance in knowledge discoveries. contents:multivariate analysisexperimental designadvances in biostatisticsadvance in statistics readership: researchers and graduate students in multivariate analysis, experimental designs and quasi-monte carlo methods. keywords:experimental designs;multivariate analysis;quasi monte carlo;semiparametrics;nonparametrics;biostatisticskey features:this volume is dedicated to professor kai-tai fang on the occasion of his 65th birthday in june 2005it consists of articles and reviewed papers that are contributed by friends and former students of professor kai-tai fang. some prominent statisticians listed are peter bentler, jianqing fan, fred hickernell, samuel kotz, rahul mukerjee, art b owen, dietrich von rosen, peter winker, qiwei yao

Contemporary Experimental Design, Multivariate Analysis and Data Mining Festschrift in Honour of Professor Kai-Tai Fang

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Author by : Jianqing Fan
Languange Used : English, France, Spanish, Italia and chinese
Page : 386
Isbn : 9783030461607
Identifier : 3030461602
Release : 2020-05-23
Publisher by : Springer
Category : Mathematics
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Description : Read Now Contemporary Experimental Design Multivariate Analysis And Data Mining by Jianqing Fan and you can download with pub, pdf, txt, doc, and more file format with free account. the collection and analysis of data play an important role in many fields of science and technology, such as computational biology, quantitative finance, information engineering, machine learning, neuroscience, medicine, and the social sciences. especially in the era of big data, researchers can easily collect data characterised by massive dimensions and complexity. in celebration of professor kai-tai fang’s 80th birthday, we present this book, which furthers new and exciting developments in modern statistical theories, methods and applications. the book features four review papers on professor fang’s numerous contributions to the fields of experimental design, multivariate analysis, data mining and education. it also contains twenty research articles contributed by prominent and active figures in their fields. the articles cover a wide range of important topics such as experimental design, multivariate analysis, data mining, hypothesis testing and statistical models.

Multivariate Analysis, Design of Experiments, and Survey Sampling

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Author by : Subir Ghosh
Languange Used : English, France, Spanish, Italia and chinese
Page : 698
Isbn : 9780824700522
Identifier : 082470052X
Release : 1999-04-29
Publisher by : CRC Press
Category : Mathematics
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Description : Read Now Multivariate Analysis Design Of Experiments And Survey Sampling by Subir Ghosh and you can download with pub, pdf, txt, doc, and more file format with free account. "describes recent developments and surveys important topics in the areas of multivariate analysis, design of experiments, and survey sampling. features the work of nearly 50 international leaders."

Theory of Block Designs

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Author by : Aloke Dey
Languange Used : English, France, Spanish, Italia and chinese
Page : 298
Isbn : 9780852261705
Identifier : 0852261705
Release : 1986
Publisher by : no defined
Category : Block designs
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Contemporary Psychology of Sport

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Author by : Gerald S. Kenyon
Languange Used : English, France, Spanish, Italia and chinese
Page : 878
Isbn :
Identifier : UIUC:30112050511044
Release : 1970
Publisher by : Athletic Institute
Category : Physical education and training
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Applied Multivariate Research Design and Interpretation

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Author by : Lawrence S. Meyers
Languange Used : English, France, Spanish, Italia and chinese
Page : 722
Isbn : 9781412904124
Identifier : 1412904129
Release : 2006
Publisher by : SAGE
Category : Social Science
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Description : Read Now Applied Multivariate Research by Lawrence S. Meyers and you can download with pub, pdf, txt, doc, and more file format with free account. applied multivariate research: design and interpretation provides full coverage of the wide range of multivariate topics in a conceptual rather than mathematical approach. the authors gear the text toward the needs, level of sophistication, and interest in multivariate methodology of students in applied programs who need to focus on design and interpretation rather than the intricacies of specific computations.

Statistical Analysis of Designed Experiments Theory and Applications

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Author by : Ajit C. Tamhane
Languange Used : English, France, Spanish, Italia and chinese
Page : 720
Isbn : 1118491432
Identifier : 9781118491430
Release : 2012-09-12
Publisher by : John Wiley & Sons
Category : Science
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Description : Read Now Statistical Analysis Of Designed Experiments by Ajit C. Tamhane and you can download with pub, pdf, txt, doc, and more file format with free account. a indispensable guide to understanding and designing modern experiments the tools and techniques of design of experiments (doe) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. statistical analysis of designed experiments provides a modern and balanced treatment of doe methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences. the book supplies a foundation for the subject, beginning with basic concepts of doe and a review of elementary normal theory statistical methods. subsequent chapters present a uniform, model-based approach to doe. each design is presented in a comprehensive format and is accompanied by a motivating example, discussion of the applicability of the design, and a model for its analysis using statistical methods such as graphical plots, analysis of variance (anova), confidence intervals, and hypothesis tests. numerous theoretical and applied exercises are provided in each chapter, and answers to selected exercises are included at the end of the book. an appendix features three case studies that illustrate the challenges often encountered in real-world experiments, such as randomization, unbalanced data, and outliers. minitab® software is used to perform analyses throughout the book, and an accompanying ftp site houses additional exercises and data sets. with its breadth of real-world examples and accessible treatment of both theory and applications, statistical analysis of designed experiments is a valuable book for experimental design courses at the upper-undergraduate and graduate levels. it is also an indispensable reference for practicing statisticians, engineers, and scientists who would like to further their knowledge of doe.

Mixed Models Theory and Applications with R

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Author by : Eugene Demidenko
Languange Used : English, France, Spanish, Italia and chinese
Page : 754
Isbn : 1118592999
Identifier : 9781118592991
Release : 2013-08-26
Publisher by : John Wiley & Sons
Category : Mathematics
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Description : Read Now Mixed Models by Eugene Demidenko and you can download with pub, pdf, txt, doc, and more file format with free account. praise for the first edition “this book will serve to greatly complement the growing number of texts dealing with mixed models, and i highly recommend including it in one’s personal library.” —journal of the american statistical association mixed modeling is a crucial area of statistics, enabling the analysis of clustered and longitudinal data. mixed models: theory and applications with r, second edition fills a gap in existing literature between mathematical and applied statistical books by presenting a powerful examination of mixed model theory and application with special attention given to the implementation in r. the new edition provides in-depth mathematical coverage of mixed models’ statistical properties and numerical algorithms, as well as nontraditional applications, such as regrowth curves, shapes, and images. the book features the latest topics in statistics including modeling of complex clustered or longitudinal data, modeling data with multiple sources of variation, modeling biological variety and heterogeneity, healthy akaike information criterion (haic), parameter multidimensionality, and statistics of image processing. mixed models: theory and applications with r, second edition features unique applications of mixed model methodology, as well as: comprehensive theoretical discussions illustrated by examples and figures over 300 exercises, end-of-section problems, updated data sets, and r subroutines problems and extended projects requiring simulations in r intended to reinforce material summaries of major results and general points of discussion at the end of each chapter open problems in mixed modeling methodology, which can be used as the basis for research or phd dissertations ideal for graduate-level courses in mixed statistical modeling, the book is also an excellent reference for professionals in a range of fields, including cancer research, computer science, and engineering.

Nonparametric Statistical Methods

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Author by : Myles Hollander
Languange Used : English, France, Spanish, Italia and chinese
Page : 848
Isbn : 1118553292
Identifier : 9781118553299
Release : 2013-11-25
Publisher by : John Wiley & Sons
Category : Mathematics
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Description : Read Now Nonparametric Statistical Methods by Myles Hollander and you can download with pub, pdf, txt, doc, and more file format with free account. praise for the second edition “this book should be an essential part of the personallibrary of every practicingstatistician.”—technometrics thoroughly revised and updated, the new edition of nonparametricstatistical methods includes additional modern topics andprocedures, more practical data sets, and new problems fromreal-life situations. the book continues to emphasize theimportance of nonparametric methods as a significant branch ofmodern statistics and equips readers with the conceptual andtechnical skills necessary to select and apply the appropriateprocedures for any given situation. written by leading statisticians, nonparametric statisticalmethods, third edition provides readers with crucialnonparametric techniques in a variety of settings, emphasizing theassumptions underlying the methods. the book provides an extensivearray of examples that clearly illustrate how to use nonparametricapproaches for handling one- or two-sample location and dispersionproblems, dichotomous data, and one-way and two-way layoutproblems. in addition, the third edition features: the use of the freely available r software to aid incomputation and simulation, including many new r programs writtenexplicitly for this new edition new chapters that address density estimation, wavelets,smoothing, ranked set sampling, and bayesian nonparametrics problems that illustrate examples from agricultural science,astronomy, biology, criminology, education, engineering,environmental science, geology, home economics, medicine,oceanography, physics, psychology, sociology, and spacescience nonparametric statistical methods, third edition is anexcellent reference for applied statisticians and practitioners whoseek a review of nonparametric methods and their relevantapplications. the book is also an ideal textbook forupper-undergraduate and first-year graduate courses in appliednonparametric statistics.

Loss Models Further Topics

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Author by : Stuart A. Klugman
Languange Used : English, France, Spanish, Italia and chinese
Page : 368
Isbn : 1118573749
Identifier : 9781118573747
Release : 2013-08-29
Publisher by : John Wiley & Sons
Category : Business & Economics
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Description : Read Now Loss Models by Stuart A. Klugman and you can download with pub, pdf, txt, doc, and more file format with free account. an essential resource for constructing and analyzing advanced actuarial models loss models: further topics presents extended coverage of modeling through the use of tools related to risk theory, loss distributions, and survival models. the book uses these methods to construct and evaluate actuarial models in the fields of insurance and business. providing an advanced study of actuarial methods, the book features extended discussions of risk modeling and risk measures, including tail-value-at-risk. loss models: further topics contains additional material to accompany the fourth edition of loss models: from data to decisions, such as: extreme value distributions coxian and related distributions mixed erlang distributions computational and analytical methods for aggregate claim models counting processes compound distributions with time-dependent claim amounts copula models continuous time ruin models interpolation and smoothing the book is an essential reference for practicing actuaries and actuarial researchers who want to go beyond the material required for actuarial qualification. loss models: further topics is also an excellent resource for graduate students in the actuarial field.

Contemporary Bayesian Econometrics and Statistics

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Author by : John Geweke
Languange Used : English, France, Spanish, Italia and chinese
Page : 300
Isbn :
Identifier : STANFORD:36105114595684
Release : 2005-09-14
Publisher by : Wiley-Interscience
Category : Business & Economics
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Description : Read Now Contemporary Bayesian Econometrics And Statistics by John Geweke and you can download with pub, pdf, txt, doc, and more file format with free account. tools to improve decision making in an imperfect world this publication provides readers with a thorough understanding of bayesian analysis that is grounded in the theory of inference and optimal decision making. contemporary bayesian econometrics and statistics provides readers with state-of-the-art simulation methods and models that are used to solve complex real-world problems. armed with a strong foundation in both theory and practical problem-solving tools, readers discover how to optimize decision making when faced with problems that involve limited or imperfect data. the book begins by examining the theoretical and mathematical foundations of bayesian statistics to help readers understand how and why it is used in problem solving. the author then describes how modern simulation methods make bayesian approaches practical using widely available mathematical applications software. in addition, the author details how models can be applied to specific problems, including: linear models and policy choices modeling with latent variables and missing data time series models and prediction comparison and evaluation of models the publication has been developed and fine- tuned through a decade of classroom experience, and readers will find the author's approach very engaging and accessible. there are nearly 200 examples and exercises to help readers see how effective use of bayesian statistics enables them to make optimal decisions. matlab® and r computer programs are integrated throughout the book. an accompanying web site provides readers with computer code for many examples and datasets. this publication is tailored for research professionals who use econometrics and similar statistical methods in their work. with its emphasis on practical problem solving and extensive use of examples and exercises, this is also an excellent textbook for graduate-level students in a broad range of fields, including economics, statistics, the social sciences, business, and public policy.