Advances in Theoretical and Applied Statistics

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Release : 2013-06-26
Genre : Mathematics
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Book Rating : 889/5 ( reviews)

Advances in Theoretical and Applied Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Theoretical and Applied Statistics write by Nicola Torelli. This book was released on 2013-06-26. Advances in Theoretical and Applied Statistics available in PDF, EPUB and Kindle. This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian Statistical Society. The papers provide significant and innovative original contributions and cover a broad range of topics including: statistical theory; methods for time series and spatial data; statistical modeling and data analysis; survey methodology and official statistics; analysis of social, demographic and health data; and economic statistics and econometrics.

Advanced Statistics with Applications in R

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Release : 2019-11-12
Genre : Mathematics
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Book Rating : 988/5 ( reviews)

Advanced Statistics with Applications in R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advanced Statistics with Applications in R write by Eugene Demidenko. This book was released on 2019-11-12. Advanced Statistics with Applications in R available in PDF, EPUB and Kindle. 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 Latent Variables

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Release : 2015-04-01
Genre : Mathematics
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Book Rating : 673/5 ( reviews)

Advances in Latent Variables - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Latent Variables write by Maurizio Carpita. This book was released on 2015-04-01. Advances in Latent Variables available in PDF, EPUB and Kindle. The book, belonging to the series “Studies in Theoretical and Applied Statistics– Selected Papers from the Statistical Societies”, presents a peer-reviewed selection of contributions on relevant topics organized by the editors on the occasion of the SIS 2013 Statistical Conference "Advances in Latent Variables. Methods, Models and Applications", held at the Department of Economics and Management of the University of Brescia from June 19 to 21, 2013. The focus of the book is on advances in statistical methods for analyses with latent variables. In fact, in recent years, there has been increasing interest in this broad research area from both a theoretical and an applied point of view, as the statistical latent variable approach allows the effective modeling of complex real-life phenomena in a wide range of research fields. A major goal of the volume is to bring together articles written by statisticians from different research fields, which present different approaches and experiences related to the analysis of unobservable variables and the study of the relationships between them.

Applied Statistics

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Release : 2019-08-14
Genre : Mathematics
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Book Rating : 544/5 ( reviews)

Applied Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Statistics write by Dieter Rasch. This book was released on 2019-08-14. Applied Statistics available in PDF, EPUB and Kindle. Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory. Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background—taking the lessons learned from there to another level with this book’s addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics. Offers a practical over theoretical approach to the subject of applied statistics Provides a pre-experimental as well as post-experimental approach to applied statistics Features classroom tested material Applicable to a wide range of people working in experimental design and all empirical sciences Includes 300 different procedures with R and examples with R-programs for the analysis and for determining minimal experimental sizes Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others.

Advances in Statistics - Theory and Applications

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Release : 2021-04-01
Genre : Mathematics
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Book Rating : 007/5 ( reviews)

Advances in Statistics - Theory and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Statistics - Theory and Applications write by Indranil Ghosh. This book was released on 2021-04-01. Advances in Statistics - Theory and Applications available in PDF, EPUB and Kindle. 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.