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Añadir al carritoHardcover. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Publicado por John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119392373 ISBN 13: 9781119392378
Idioma: Inglés
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Añadir al carritoHardcover. Condición: new. Hardcover. Handbook and reference guide for students and practitioners of statistical regression-based analyses in R Handbook of Regression Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical programming language. The authors' thorough treatment of "classical" regression analysis in the first edition is complemented here by their discussion of more advanced topics including time-to-event survival data and longitudinal and clustered data. The book further pays particular attention to methods that have become prominent in the last few decades as increasingly large data sets have made new techniques and applications possible. These include: Regularization methodsSmoothing methodsTree-based methods In the new edition of the Handbook, the data analyst's toolkit is explored and expanded. Examples are drawn from a wide variety of real-life applications and data sets. All the utilized R code and data are available via an author-maintained website. Of interest to undergraduate and graduate students taking courses in statistics and regression, the Handbook of Regression Analysis will also be invaluable to practicing data scientists and statisticians. Revised edition of: Handbook of regression analysis. 2013. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Publicado por Wiley-Blackwell 2020-10-14, 2020
ISBN 10: 1119392373 ISBN 13: 9781119392378
Idioma: Inglés
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Publicado por John Wiley & Sons Inc, New York, 2013
ISBN 10: 0470887168 ISBN 13: 9780470887165
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Añadir al carritoHardcover. Condición: new. Hardcover. A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis. Written by two established experts in the field, the purpose of the Handbook of Regression Analysis is to provide a practical, one-stop reference on regression analysis. The focus is on the tools that both practitioners and researchers use in real life. It is intended to be a comprehensive collection of the theory, methods, and applications of regression methods, but it has been deliberately written at an accessible level. The handbook provides a quick and convenient reference or refresher on ideas and methods that are useful for the effective analysis of data and its resulting interpretations. Students can use the book as an introduction to and/or summary of key concepts in regression and related course work (including linear, binary logistic, multinomial logistic, count, and nonlinear regression models). Theory underlying the methodology is presented when it advances conceptual understanding and is always supplemented by hands-on examples. References are supplied for readers wanting more detailed material on the topics discussed in the book. R code and data for all of the analyses described in the book are available via an author-maintained website."I enjoyed the presentation of the Handbook, and I would be happy to recommend this nice handy book as a reference to my students. The clarity of the writing and proper choices of examples allows the presentations ofmany statisticalmethods shine. The quality of the examples at the end of each chapter is a strength. They entail explanations of the resulting R outputs and successfully guide readers to interpret them." American Statistician A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis. Written by two established experts in the field, the purpose of the Handbook of Regression Analysis is to provide a practical, one-stop reference on regression analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por John Wiley and Sons Ltd, 2020
ISBN 10: 1119392373 ISBN 13: 9781119392378
Idioma: Inglés
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Publicado por John Wiley and Sons Inc, US, 2020
ISBN 10: 1119392373 ISBN 13: 9781119392378
Idioma: Inglés
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Añadir al carritoHardback. Condición: New. Handbook and reference guide for students and practitioners of statistical regression-based analyses in R Handbook of Regression Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical programming language. The authors' thorough treatment of "classical" regression analysis in the first edition is complemented here by their discussion of more advanced topics including time-to-event survival data and longitudinal and clustered data. The book further pays particular attention to methods that have become prominent in the last few decades as increasingly large data sets have made new techniques and applications possible. These include: Regularization methodsSmoothing methodsTree-based methods In the new edition of the Handbook, the data analyst's toolkit is explored and expanded. Examples are drawn from a wide variety of real-life applications and data sets. All the utilized R code and data are available via an author-maintained website. Of interest to undergraduate and graduate students taking courses in statistics and regression, the Handbook of Regression Analysis will also be invaluable to practicing data scientists and statisticians.
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Publicado por John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119392373 ISBN 13: 9781119392378
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 131,11
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Añadir al carritoHardcover. Condición: new. Hardcover. Handbook and reference guide for students and practitioners of statistical regression-based analyses in R Handbook of Regression Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical programming language. The authors' thorough treatment of "classical" regression analysis in the first edition is complemented here by their discussion of more advanced topics including time-to-event survival data and longitudinal and clustered data. The book further pays particular attention to methods that have become prominent in the last few decades as increasingly large data sets have made new techniques and applications possible. These include: Regularization methodsSmoothing methodsTree-based methods In the new edition of the Handbook, the data analyst's toolkit is explored and expanded. Examples are drawn from a wide variety of real-life applications and data sets. All the utilized R code and data are available via an author-maintained website. Of interest to undergraduate and graduate students taking courses in statistics and regression, the Handbook of Regression Analysis will also be invaluable to practicing data scientists and statisticians. Revised edition of: Handbook of regression analysis. 2013. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis. Written by two established experts in the field, the purpose of the Handbook of Regression Analysis is to provide a practical, one-stop reference on regression analysis. Series: Wiley Handbooks in Applied Statistics. Num Pages: 252 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 242 x 162 x 18. Weight in Grams: 468. . 2012. 1st Edition. Hardcover. . . . .
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 2nd edition. 349 pages. 9.25x6.25x1.00 inches. In Stock.