Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 110,95
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 127,89
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 129,50
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 130,49
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 151,34
Convertire valutaQuantità: 14 disponibili
Aggiungi al carrelloCondizione: New. 2020. 2nd Edition. Hardcover. . . . . .
Da: Majestic Books, Hounslow, Regno Unito
EUR 142,85
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Wiley-Blackwell 2020-10-14, 2020
ISBN 10: 1119392373 ISBN 13: 9781119392378
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 130,04
Convertire valutaQuantità: 14 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 149,46
Convertire valutaQuantità: 14 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 3 working days. 726.
Da: Books Puddle, New York, NY, U.S.A.
EUR 158,21
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 158,50
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd edition. 349 pages. 9.25x6.25x1.00 inches. In Stock.
Editore: John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119392373 ISBN 13: 9781119392378
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 134,26
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: 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.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 164,78
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 183,83
Convertire valutaQuantità: 14 disponibili
Aggiungi al carrelloCondizione: New. 2020. 2nd Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Editore: John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119392373 ISBN 13: 9781119392378
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 143,70
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: 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.
Editore: John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119392373 ISBN 13: 9781119392378
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 207,19
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.