{"product_id":"statistical-computing-with-r-second-edition-9781466553323","title":"Statistical Computing with R Second Edition","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePraise for the First Edition:\u003c\/p\u003e\u003ci\u003e\u003c\/i\u003e\u003cp\u003e. . . the book serves as an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and Monte Carlo methods for modeling and simulation.  Tzvetan Semerdjiev, \u003ci\u003eZentralblatt Math\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eComputational statistics and statistical computing are two areas within statistics that may be broadly described as computational, graphical, and numerical approaches to solving statistical problems. Like its bestselling predecessor, \u003cb\u003e\u003ci\u003eStatistical Computing with R, Second Edition\u003c\/i\u003e\u003c\/b\u003e covers the traditional core material of these areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have been made in recent years. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003e\u003c\/b\u003e\u003cp\u003eFeatures\u003c\/p\u003e\u003cul\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eProvides an overview of c\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003ePraise for the First Edition:\u003c\/strong\u003e\"… an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and Monte Carlo methods for modeling and simulation.\" \u003cbr\u003e—Tzvetan Semerdjiev, \u003cem\u003eZentralblatt Math\u003c\/em\u003e, 2008, Vol. 1137\u003c\/p\u003e\n\u003cp\u003e\"Statistical computing and computational statistics are two areas of statistics described as computational, graphical, and numerical approaches to solving statistical problems. Statistical Computing with R comprises, thorough and examples-based approach, the conventional core material of computational statistics with an emphasis on R... This book includes standard statistical computing topics using the R language... All examples in the text are realised in R. Software is actively maintained, it has good connectivity to various types of data and other systems, and it is versatile. In addition, R is very stable and reliable... The book also includes exercises and applications in all chapters, as well as coverage of recent advances including R Studio. Many examples are included, fully implemented in the R statistical\u003cbr\u003ecomputing environment, and the R code for the examples can be downloaded from the author’s website. Most examples and exercises apply datasets accessible in the R distribution or simulated data. The author, Maria L. Rizzo, is a Full Professor at the Department of Mathematics and Statistics of Bowling Green State University (US) and is an expert on Applied Statistics, Statistical Computing, and Energy Statistics... After finishing the book, I feel that it is a well-written text useful for biostatisticians and graduate teachers, principally because it is written by a leading expert who is engaged in statistical modelling and methodological developments and applications in the real world. In my opinion, the book is a must-have for the interested biostatistician audience.\"\u003cbr\u003e- \u003cstrong\u003eLuca Bertolaccini\u003c\/strong\u003e, ISCB December 2019\u003c\/p\u003e\n\u003cbr\u003e\u003cp\u003e\u003cstrong\u003ePraise for the First Edition:\u003c\/strong\u003e\"… an excellent tutorial on the R language, providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and Monte Carlo methods for modeling and simulation.\" \u003cbr\u003e—\u003cstrong\u003eTzvetan Semerdjiev\u003c\/strong\u003e, \u003cem\u003eZentralblatt Math\u003c\/em\u003e, 2008, Vol. 1137\u003c\/p\u003e\n\u003cp\u003e\"Statistical computing and computational statistics are two areas of statistics described as computational, graphical, and numerical approaches to solving statistical problems. Statistical Computing with R comprises, thorough and examples-based approach, the conventional core material of computational statistics with an emphasis on R... This book includes standard statistical computing topics using the R language... All examples in the text are realised in R. Software is actively maintained, it has good connectivity to various types of data and other systems, and it is versatile. In addition, R is very stable and reliable... The book also includes exercises and applications in all chapters, as well as coverage of recent advances including R Studio. Many examples are included, fully implemented in the R statistical computing environment, and the R code for the examples can be downloaded from the author’s website. Most examples and exercises apply datasets accessible in the R distribution or simulated data. The author, Maria L. Rizzo, is a Full Professor at the Department of Mathematics and Statistics of Bowling Green State University (US) and is an expert on Applied Statistics, Statistical Computing, and Energy Statistics... After finishing the book, I feel that it is a well-written text useful for biostatisticians and graduate teachers, principally because it is written by a leading expert who is engaged in statistical modelling and methodological developments and applications in the real world. In my opinion, the book is a must-have for the interested biostatistician audience.\"\u003cbr\u003e- \u003cstrong\u003eLuca Bertolaccini\u003c\/strong\u003e, ISCB December 2019\u003c\/p\u003e\n\u003cp\u003e\"...This book tries to keep a balance between theory and practice, with more focus on the latter...also provides plenty of R codes to help the readers practice what they learned from the book. As stated in the preface, the targeted readers of this book are graduate students and advanced undergraduates with preparation in the relevant mathematics foundations. From this point of view, the content of the book fits well to the anticipated audience...I really appreciate the section on “finding source code” in Chapter 15. A lot of the libraries in R are written in C or Fortran. Occasionally, we need to dig into those codes and make changes to suit our needs. It is very helpful in our daily research to be able to find the source code and compile the changes...Finally, I would like to give credit to the author on making their code available on github. This makes it convenient for readers to try the code themselves without lots of typing. It also allows the authors to easily make updated code available to readers.\"\u003cbr\u003e- \u003cstrong\u003eLing Leng\u003c\/strong\u003e, JASA, September 2020\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction. Probability and Statistics Review. Methods for Generating Random Variables. Visualization of Multivariate Data. Monte Carlo Integration and Variance Reduction. Monte Carlo Methods in Inference. Bootstrap and Jackknife. Permutation Tests. Markov Chain Monte Carlo Methods. Probability Density Estimation. Smoothing and Nonparametric Regression. High Dimensional Data. Numerical Methods in R. Optimization.\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":51019890196823,"sku":"9781466553323","price":65.54,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781466553323.jpg?v=1750781619","url":"https:\/\/bookcurl.com\/products\/statistical-computing-with-r-second-edition-9781466553323","provider":"Book Curl","version":"1.0","type":"link"}