1991 Proceedings Of The Statistical Computing Section
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1991 Proceedings Of The Statistical Computing Section
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Author : American Statistical Association. Statistical Computing Section. Meeting
language : en
Publisher:
Release Date : 1992
1991 Proceedings Of The Statistical Computing Section written by American Statistical Association. Statistical Computing Section. Meeting and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Mathematical statistics categories.
1991 Proceedings Of The Statistical Computing Section
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Author : American Statistical Association. Statistical Computing Section
language : en
Publisher:
Release Date : 1991
1991 Proceedings Of The Statistical Computing Section written by American Statistical Association. Statistical Computing Section and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Proceedings Of The Statistical Computing Section
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Author : American Statistical Association. Statistical Computing Section
language : en
Publisher:
Release Date : 1994
Proceedings Of The Statistical Computing Section written by American Statistical Association. Statistical Computing Section and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Mathematical statistics categories.
American Statistical Association 1991 Proceedings Of The Statistical Computing Section
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Author : American Statistical Association. Meeting
language : en
Publisher:
Release Date : 1991
American Statistical Association 1991 Proceedings Of The Statistical Computing Section written by American Statistical Association. Meeting and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Statistical Computing
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Author : William J. Kennedy
language : en
Publisher: Routledge
Release Date : 2021-06-23
Statistical Computing written by William J. Kennedy and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-23 with Computers categories.
In this book the authors have assembled the "best techniques from a great variety of sources, establishing a benchmark for the field of statistical computing." ---Mathematics of Computation ." The text is highly readable and well illustrated with examples. The reader who intends to take a hand in designing his own regression and multivariate packages will find a storehouse of information and a valuable resource in the field of statistical computing.
Statistics Of Income And Related Administrative Record Research
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Author : American Statistical Association. Meeting
language : en
Publisher:
Release Date : 1998
Statistics Of Income And Related Administrative Record Research written by American Statistical Association. Meeting and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Canada categories.
Statistical Computing
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Author : Kennedy
language : en
Publisher: CRC Press
Release Date : 1980-03-01
Statistical Computing written by Kennedy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980-03-01 with Mathematics categories.
This book provides an introduction to statistical computing and a critical, balanced presentation of the algorithms and computational methods used in software systems, discussing techniques for implementing algorithms in a computer. It is intended for graduate students in statistics.
Handbook Of Computational Statistics
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Author : James E. Gentle
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-06
Handbook Of Computational Statistics written by James E. Gentle and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-06 with Computers categories.
The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.
Sas For Mixed Models
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Author : Walter W. Stroup
language : en
Publisher: SAS Institute
Release Date : 2018-12-12
Sas For Mixed Models written by Walter W. Stroup and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-12 with Computers categories.
Discover the power of mixed models with SAS. Mixed models—now the mainstream vehicle for analyzing most research data—are part of the core curriculum in most master’s degree programs in statistics and data science. In a single volume, this book updates both SAS® for Linear Models, Fourth Edition, and SAS® for Mixed Models, Second Edition, covering the latest capabilities for a variety of applications featuring the SAS GLIMMIX and MIXED procedures. Written for instructors of statistics, graduate students, scientists, statisticians in business or government, and other decision makers, SAS® for Mixed Models is the perfect entry for those with a background in two-way analysis of variance, regression, and intermediate-level use of SAS. This book expands coverage of mixed models for non-normal data and mixed-model-based precision and power analysis, including the following topics: Random-effect-only and random-coefficients models Multilevel, split-plot, multilocation, and repeated measures models Hierarchical models with nested random effects Analysis of covariance models Generalized linear mixed models This book is part of the SAS Press program.
Mathematical Statistics With Resampling And R
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Author : Laura M. Chihara
language : en
Publisher: John Wiley & Sons
Release Date : 2012-09-05
Mathematical Statistics With Resampling And R written by Laura M. Chihara and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-05 with Mathematics categories.
This book bridges the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques to mathematical statistics. Extensively class-tested to ensure an accessible presentation, Mathematical Statistics with Resampling and R utilizes the powerful and flexible computer language R to underscore the significance and benefits of modern resampling techniques. The book begins by introducing permutation tests and bootstrap methods, motivating classical inference methods. Striking a balance between theory, computing, and applications, the authors explore additional topics such as: Exploratory data analysis Calculation of sampling distributions The Central Limit Theorem Monte Carlo sampling Maximum likelihood estimation and properties of estimators Confidence intervals and hypothesis tests Regression Bayesian methods Throughout the book, case studies on diverse subjects such as flight delays, birth weights of babies, and telephone company repair times illustrate the relevance of the real-world applications of the discussed material. Key definitions and theorems of important probability distributions are collected at the end of the book, and a related website is also available, featuring additional material including data sets, R scripts, and helpful teaching hints. Mathematical Statistics with Resampling and R is an excellent book for courses on mathematical statistics at the upper-undergraduate and graduate levels. It also serves as a valuable reference for applied statisticians working in the areas of business, economics, biostatistics, and public health who utilize resampling methods in their everyday work.