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Descripción Hardcover. Condición: new. Hardcover. Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive partitioning to cluster analysis. New to the Third Edition Three new chapters on quantile regression, missing values, and Bayesian inference Extra material in the logistic regression chapter that describes a regression model for ordered categorical response variables Additional exercises More detailed explanations of R code New section in each chapter summarizing the results of the analyses Updated version of the HSAUR package (HSAUR3), which includes some slides that can be used in introductory statistics courses Whether youre a data analyst, scientist, or student, this handbook shows you how to easily use R to effectively evaluate your data. With numerous real-world examples, it emphasizes the practical application and interpretation of results. Previous editions cataloged under main entry for Brian S. Everitt. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781138469792
Descripción Condición: New. Book is in NEW condition. Nº de ref. del artículo: 1138469793-2-1
Descripción Condición: New. New! This book is in the same immaculate condition as when it was published. Nº de ref. del artículo: 353-1138469793-new
Descripción Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Torsten Hothorn, Brian S. EverittLike the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how. Nº de ref. del artículo: 595404465
Descripción Hardcover. Condición: Brand New. 3rd edition. 304 pages. 9.21x6.14x1.06 inches. In Stock. Nº de ref. del artículo: __1138469793