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Advances in Statistical Methodologies and Their Application to Real Problems

2017-04-26 Mathematics
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Release : 2017-04-26
Genre : Mathematics
Kind : eBook
Book Rating : 01X/5 ( reviews)

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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. This book was released on 2017-04-26. 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.

Advances in Statistical Methodologies and Their Application to Real Problems

19??
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Release : 19??
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Book Rating : 021/5 ( reviews)

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

Download or read book Advances in Statistical Methodologies and Their Application to Real Problems written by . This book was released on 19??. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Physics

2012-06-19 Science
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Release : 2012-06-19
Genre : Science
Kind : eBook
Book Rating : 844/5 ( reviews)

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Book Synopsis Statistical Physics by : Josef Honerkamp

Download or read book Statistical Physics written by Josef Honerkamp. This book was released on 2012-06-19. Available in PDF, EPUB and Kindle. Book excerpt: The application of statistical methods to physics is essential. This unique book on statistical physics offers an advanced approach with numerous applications to the modern problems students are confronted with. Therefore the text contains more concepts and methods in statistics than the student would need for statistical mechanics alone. Methods from mathematical statistics and stochastics for the analysis of data are discussed as well. The book is divided into two parts, focusing first on the modeling of statistical systems and then on the analysis of these systems. Problems with hints for solution help the students to deepen their knowledge. The third edition has been updated and enlarged with new sections deepening the knowledge about data analysis. Moreover, a customized set of problems with solutions is accessible on the Web at extras.springer.com.

Advanced Statistical Methods for the Analysis of Large Data-Sets

2012-03-05 Mathematics
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Release : 2012-03-05
Genre : Mathematics
Kind : eBook
Book Rating : 376/5 ( reviews)

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Book Synopsis Advanced Statistical Methods for the Analysis of Large Data-Sets by : Agostino Di Ciaccio

Download or read book Advanced Statistical Methods for the Analysis of Large Data-Sets written by Agostino Di Ciaccio. This book was released on 2012-03-05. Available in PDF, EPUB and Kindle. Book excerpt: The theme of the meeting was “Statistical Methods for the Analysis of Large Data-Sets”. In recent years there has been increasing interest in this subject; in fact a huge quantity of information is often available but standard statistical techniques are usually not well suited to managing this kind of data. The conference serves as an important meeting point for European researchers working on this topic and a number of European statistical societies participated in the organization of the event. The book includes 45 papers from a selection of the 156 papers accepted for presentation and discussed at the conference on “Advanced Statistical Methods for the Analysis of Large Data-sets.”

Advanced Statistics with Applications in R

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

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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. This book was released on 2019-11-12. 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.

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