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Editore: 2014, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: Book Hémisphères, Kervignac, Francia
Libro
Condizione: Used: Good. Occasion - Bon Etat - Introduction to mixed modelling. Beyond regression and analysis of variance (2014) - Grand Format.
Editore: Wiley 2014-10-17, Chichester, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: Blackwell's, London, Regno Unito
Libro
hardback. Condizione: New. Language: ENG.
Editore: Wiley, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: GreatBookPrices, Columbia, MD, U.S.A.
Libro
Condizione: New.
Editore: John Wiley & Sons Inc, New York, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: Grand Eagle Retail, Wilmington, DE, U.S.A.
Libro
Hardcover. Condizione: new. Hardcover. Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. It is based on the recognition of random-effect terms in statistical models, leading to inferences and estimates that have much wider applicability and are more realistic than those otherwise obtained. Introduction to Mixed Modelling leads the reader into mixed modelling as a natural extension of two more familiar methods, regression analysis and analysis of variance. It provides practical guidance combined with a clear explanation of the underlying concepts. Like the first edition, this new edition shows diverse applications of mixed models, provides guidance on the identification of random-effect terms, and explains how to obtain and interpret best linear unbiased predictors (BLUPs). It also introduces several important new topics, including the following: Use of the software SAS, in addition to GenStat and R.Meta-analysis and the multiple testing problem.The Bayesian interpretation of mixed models. Including numerous practical exercises with solutions, this book provides an ideal introduction to mixed modelling for final year undergraduate students, postgraduate students and professional researchers. It will appeal to readers from a wide range of scientific disciplines including statistics, biology, bioinformatics, medicine, agriculture, engineering, economics, archaeology and geography. Praise for the first edition: One of the main strengths of the text is the bridge it provides between traditional analysis of variance and regression models and the more recently developed class of mixed models.Each chapter is well-motivated by at least one carefully chosen example.demonstrating the broad applicability of mixed models in many different disciplines.most readers will likely learn something new, and those previously unfamiliar with mixed models will obtain a solid foundation on this topic.Kerrie Nelson University of South Carolina, in American Statistician, 2007 Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Wiley, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
Libro
Condizione: New.
Editore: John Wiley and Sons Ltd, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Libro
Hardback. Condizione: New. New copy - Usually dispatched within 4 working days. Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis.
Editore: Wiley-Blackwell, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Libro
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: John Wiley & Sons, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: Books Puddle, New York, NY, U.S.A.
Libro
Condizione: New. pp. 512 Index 2nd Edition.
Editore: John Wiley & Sons, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: Majestic Books, Hounslow, Regno Unito
Libro
Condizione: New. pp. 512.
Editore: Wiley, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: Book Deals, Tucson, AZ, U.S.A.
Libro
Condizione: Fine. Like New condition. Great condition, but not exactly fully crisp. The book may have been opened and read, but there are no defects to the book, jacket or pages.
Editore: John Wiley & Sons Inc, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: Revaluation Books, Exeter, Regno Unito
Libro
Hardcover. Condizione: Brand New. 2nd edition. 487 pages. 9.00x6.00x1.00 inches. In Stock.
Editore: John Wiley & Sons, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: moluna, Greven, Germania
Libro
Gebunden. Condizione: New. Mixed modelling is very useful, and easier than you think!Mixed modelling is now well established as a powerful approach to statistical data analysis. It is based on the recognition of random-effect terms in statistical models, leading to inferences and est.
Editore: John Wiley & Sons Inc, New York, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: CitiRetail, Stevenage, Regno Unito
Libro
Hardcover. Condizione: new. Hardcover. Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. It is based on the recognition of random-effect terms in statistical models, leading to inferences and estimates that have much wider applicability and are more realistic than those otherwise obtained. Introduction to Mixed Modelling leads the reader into mixed modelling as a natural extension of two more familiar methods, regression analysis and analysis of variance. It provides practical guidance combined with a clear explanation of the underlying concepts. Like the first edition, this new edition shows diverse applications of mixed models, provides guidance on the identification of random-effect terms, and explains how to obtain and interpret best linear unbiased predictors (BLUPs). It also introduces several important new topics, including the following: Use of the software SAS, in addition to GenStat and R.Meta-analysis and the multiple testing problem.The Bayesian interpretation of mixed models. Including numerous practical exercises with solutions, this book provides an ideal introduction to mixed modelling for final year undergraduate students, postgraduate students and professional researchers. It will appeal to readers from a wide range of scientific disciplines including statistics, biology, bioinformatics, medicine, agriculture, engineering, economics, archaeology and geography. Praise for the first edition: One of the main strengths of the text is the bridge it provides between traditional analysis of variance and regression models and the more recently developed class of mixed models.Each chapter is well-motivated by at least one carefully chosen example.demonstrating the broad applicability of mixed models in many different disciplines.most readers will likely learn something new, and those previously unfamiliar with mixed models will obtain a solid foundation on this topic.Kerrie Nelson University of South Carolina, in American Statistician, 2007 Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Wiley, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
Libro
Condizione: As New. Unread book in perfect condition.
Editore: Wiley, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: Mispah books, Redhill, SURRE, Regno Unito
Libro
Hardcover. Condizione: Like New. Like New. book.
Editore: Wiley, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: GreatBookPrices, Columbia, MD, U.S.A.
Libro
Condizione: As New. Unread book in perfect condition.
Editore: John Wiley & Sons Inc, New York, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: AussieBookSeller, Truganina, VIC, Australia
Libro
Hardcover. Condizione: new. Hardcover. Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. It is based on the recognition of random-effect terms in statistical models, leading to inferences and estimates that have much wider applicability and are more realistic than those otherwise obtained. Introduction to Mixed Modelling leads the reader into mixed modelling as a natural extension of two more familiar methods, regression analysis and analysis of variance. It provides practical guidance combined with a clear explanation of the underlying concepts. Like the first edition, this new edition shows diverse applications of mixed models, provides guidance on the identification of random-effect terms, and explains how to obtain and interpret best linear unbiased predictors (BLUPs). It also introduces several important new topics, including the following: Use of the software SAS, in addition to GenStat and R.Meta-analysis and the multiple testing problem.The Bayesian interpretation of mixed models. Including numerous practical exercises with solutions, this book provides an ideal introduction to mixed modelling for final year undergraduate students, postgraduate students and professional researchers. It will appeal to readers from a wide range of scientific disciplines including statistics, biology, bioinformatics, medicine, agriculture, engineering, economics, archaeology and geography. Praise for the first edition: One of the main strengths of the text is the bridge it provides between traditional analysis of variance and regression models and the more recently developed class of mixed models.Each chapter is well-motivated by at least one carefully chosen example.demonstrating the broad applicability of mixed models in many different disciplines.most readers will likely learn something new, and those previously unfamiliar with mixed models will obtain a solid foundation on this topic.Kerrie Nelson University of South Carolina, in American Statistician, 2007 Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: John Wiley & Sons Inc, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: Kennys Bookstore, Olney, MD, U.S.A.
Libro
Condizione: New. Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. Num Pages: 504 pages, illustrations. BIC Classification: PBWH. Category: (P) Professional & Vocational. Dimension: 251 x 174 x 29. Weight in Grams: 902. . 2014. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.
Editore: John Wiley & Sons Inc, 2014
ISBN 10: 1119945496ISBN 13: 9781119945499
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Libro
Condizione: New. Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. Num Pages: 504 pages, illustrations. BIC Classification: PBWH. Category: (P) Professional & Vocational. Dimension: 251 x 174 x 29. Weight in Grams: 902. . 2014. 2nd Edition. Hardcover. . . . .