Advances in Statistics - Theory and Applications

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Publisher : Springer Nature
ISBN 13 : 3030629007
Total Pages : 443 pages
Book Rating : 4.07/5 ( download)

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Book Synopsis Advances in Statistics - Theory and Applications by : Indranil Ghosh

Download or read book Advances in Statistics - Theory and Applications written by Indranil Ghosh and published by Springer Nature. This book was released on 2021-04-01 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C. Arnold. A pioneering scholar and professor of statistics at the University of California, Riverside, Dr. Arnold has made exceptional advancements in different areas of probability, statistics, and biostatistics, especially in the areas of distribution theory, order statistics, and statistical inference. As a tribute to his work, this book presents novel developments in the field, as well as practical applications and potential future directions in research and industry. It will be of interest to graduate students and researchers in probability, statistics, and biostatistics, as well as practitioners and technicians in the social sciences, economics, engineering, and medical sciences.

Advances in Statistics -- Theory and Applications

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Publisher :
ISBN 13 : 9783030629014
Total Pages : 443 pages
Book Rating : 4.15/5 ( download)

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Book Synopsis Advances in Statistics -- Theory and Applications by :

Download or read book Advances in Statistics -- Theory and Applications written by and published by . This book was released on 2021 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C. Arnold. A pioneering scholar and professor of statistics at the University of California, Riverside, Dr. Arnold has made exceptional advancements in different areas of probability, statistics, and biostatistics, especially in the areas of distribution theory, order statistics, and statistical inference. As a tribute to his work, this book presents novel developments in the field, as well as practical applications and potential future directions in research and industry. It will be of interest to graduate students and researchers in probability, statistics, and biostatistics, as well as practitioners and technicians in the social sciences, economics, engineering, and medical sciences.

Advanced Statistics with Applications in R

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Publisher : John Wiley & Sons
ISBN 13 : 1118387988
Total Pages : 880 pages
Book Rating : 4.86/5 ( download)

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Book Synopsis Advanced Statistics with Applications in R by : Eugene Demidenko

Download or read book Advanced Statistics with Applications in R written by Eugene Demidenko and published by John Wiley & Sons. This book was released on 2019-11-12 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are caused by misunderstanding of statistical concepts due to poor theoretical background of practitioners and applied statisticians. This book is the product of a forty-year experience in teaching of probability and statistics and their applications for solving real-life problems. There are more than 442 examples in the book: basically every probability or statistics concept is illustrated with an example accompanied with an R code. Many examples, such as Who said π? What team is better? The fall of the Roman empire, James Bond chase problem, Black Friday shopping, Free fall equation: Aristotle or Galilei, and many others are intriguing. These examples cover biostatistics, finance, physics and engineering, text and image analysis, epidemiology, spatial statistics, sociology, etc. Advanced Statistics with Applications in R teaches students to use theory for solving real-life problems through computations: there are about 500 R codes and 100 datasets. These data can be freely downloaded from the author's website dartmouth.edu/~eugened. This book is suitable as a text for senior undergraduate students with major in statistics or data science or graduate students. Many researchers who apply statistics on the regular basis find explanation of many fundamental concepts from the theoretical perspective illustrated by concrete real-world applications.

Advances in Distribution Theory, Order Statistics, and Inference

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Publisher : Springer Science & Business Media
ISBN 13 : 0817644873
Total Pages : 515 pages
Book Rating : 4.71/5 ( download)

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Book Synopsis Advances in Distribution Theory, Order Statistics, and Inference by : N. Balakrishnan

Download or read book Advances in Distribution Theory, Order Statistics, and Inference written by N. Balakrishnan and published by Springer Science & Business Media. This book was released on 2007-10-23 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to honor the fundamental contributions to many different areas of statistics made by Barry Arnold. Distinguished and active researchers highlight some of the recent developments in statistical distribution theory, order statistics and their properties, as well as inferential methods associated with them. Applications to survival analysis, reliability, quality control, and environmental problems are emphasized.

Spatial Statistics and Geostatistics

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Publisher : SAGE
ISBN 13 : 1446291626
Total Pages : 202 pages
Book Rating : 4.27/5 ( download)

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Book Synopsis Spatial Statistics and Geostatistics by : Yongwan Chun

Download or read book Spatial Statistics and Geostatistics written by Yongwan Chun and published by SAGE. This book was released on 2013-01-11 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. Difficult concepts are well explained and supported by excellent examples in R code, allowing readers to see how each of the methods is implemented in practice" - Professor Tao Cheng, University College London Focusing specifically on spatial statistics and including components for ArcGIS, R, SAS and WinBUGS, this book illustrates the use of basic spatial statistics and geostatistics, as well as the spatial filtering techniques used in all relevant programs and software. It explains and demonstrates techniques in: spatial sampling spatial autocorrelation local statistics spatial interpolation in two-dimensions advanced topics including Bayesian methods, Monte Carlo simulation, error and uncertainty. It is a systematic overview of the fundamental spatial statistical methods used by applied researchers in geography, environmental science, health and epidemiology, population and demography, and planning. A companion website includes digital R code for implementing the analyses in specific chapters and relevant data sets to run the R codes.

Advanced Linear Models

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Publisher : Routledge
ISBN 13 : 1351468561
Total Pages : 552 pages
Book Rating : 4.65/5 ( download)

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Book Synopsis Advanced Linear Models by : Shein-Chung Chow

Download or read book Advanced Linear Models written by Shein-Chung Chow and published by Routledge. This book was released on 2018-05-04 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and prediction. The authors discuss the application of statistical theories and methodologies to various linear models such as the linear regression model, the analysis of variance model, the analysis of covariance model, and the variance components model.

Advances in Statistical Methodologies and Their Application to Real Problems

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Publisher : BoD – Books on Demand
ISBN 13 : 953513101X
Total Pages : 327 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis Advances in Statistical Methodologies and Their Application to Real Problems by : Tsukasa Hokimoto

Download or read book Advances in Statistical Methodologies and Their Application to Real Problems written by Tsukasa Hokimoto and published by BoD – Books on Demand. This book was released on 2017-04-26 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, statistical techniques and methods for data analysis have advanced significantly in a wide range of research areas. These developments enable researchers to analyze increasingly large datasets with more flexibility and also more accurately estimate and evaluate the phenomena they study. We recognize the value of recent advances in data analysis techniques in many different research fields. However, we also note that awareness of these different statistical and probabilistic approaches may vary, owing to differences in the datasets typical of different research fields. This book provides a cross-disciplinary forum for exploring the variety of new data analysis techniques emerging from different fields.

Kendall's Advanced Theory of Statistics

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Publisher : Wiley
ISBN 13 : 9780340614303
Total Pages : 700 pages
Book Rating : 4.07/5 ( download)

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Book Synopsis Kendall's Advanced Theory of Statistics by : Alan Stuart

Download or read book Kendall's Advanced Theory of Statistics written by Alan Stuart and published by Wiley. This book was released on 2009-04-20 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: This major revision contains a largely new chapter 7 providing an extensive discussion of the bivariate and multivariate versions of the standard distributions and families. Chapter 16 has been enlarged to cover mulitvariate sampling theory, an updated version of material previously found in the old Volume 3. The previous chapters 7 and 8 have been condensed into a single chapter providing an introduction to statistical inference. Elsewhere, major updates include new material on skewness and kurtosis, hazard rate distributions, the bootstrap, the evaluation of the multivariate normal integral and ratios of quadratic forms. This new edition includes over 200 new references, 40 new exercises and 20 further examples in the main text. In addition, all the text examples have been given titles and these are listed at the front of the book for easier reference.

Advances in Mathematical and Statistical Modeling

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Publisher : Springer Science & Business Media
ISBN 13 : 0817646264
Total Pages : 374 pages
Book Rating : 4.64/5 ( download)

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Book Synopsis Advances in Mathematical and Statistical Modeling by : Barry C. Arnold

Download or read book Advances in Mathematical and Statistical Modeling written by Barry C. Arnold and published by Springer Science & Business Media. This book was released on 2009-04-09 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enrique Castillo is a leading figure in several mathematical and engineering fields. Organized to honor Castillo’s significant contributions, this volume is an outgrowth of the "International Conference on Mathematical and Statistical Modeling," and covers recent advances in the field. Applications to safety, reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques are presented.

Statistics for High-Dimensional Data

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Publisher : Springer Science & Business Media
ISBN 13 : 364220192X
Total Pages : 568 pages
Book Rating : 4.29/5 ( download)

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Book Synopsis Statistics for High-Dimensional Data by : Peter Bühlmann

Download or read book Statistics for High-Dimensional Data written by Peter Bühlmann and published by Springer Science & Business Media. This book was released on 2011-06-08 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections. A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods’ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.