Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance

3 avg rating
( 1 ratings by Goodreads )
 
9781119945499: Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance
View all copies of this ISBN edition:
 
 

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

"synopsis" may belong to another edition of this title.

Top Search Results from the AbeBooks Marketplace

1.

N.W. Galwey
Published by John Wiley Sons Inc, United States (2014)
ISBN 10: 1119945496 ISBN 13: 9781119945499
New Hardcover Quantity Available: 10
Seller:
The Book Depository
(London, United Kingdom)
Rating
[?]

Book Description John Wiley Sons Inc, United States, 2014. Hardback. Condition: New. 2nd Revised edition. Language: English . Brand New Book. 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. Seller Inventory # AAH9781119945499

More information about this seller | Contact this seller

Buy New
61.48
Convert currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, rates & speeds

2.

N. W. Galwey (author)
Published by Wiley 2014-12-01, Chichester (2014)
ISBN 10: 1119945496 ISBN 13: 9781119945499
New Hardcover Quantity Available: 5
Seller:
Blackwell's
(Oxford, OX, United Kingdom)
Rating
[?]

Book Description Wiley 2014-12-01, Chichester, 2014. hardback. Condition: New. Seller Inventory # 9781119945499

More information about this seller | Contact this seller

Buy New
55.99
Convert currency

Add to Basket

Shipping: 7.50
From United Kingdom to U.S.A.
Destination, rates & speeds

3.

N.W. Galwey
Published by John Wiley & Sons Inc, United States (2014)
ISBN 10: 1119945496 ISBN 13: 9781119945499
New Hardcover Quantity Available: 10
Seller:
Book Depository International
(London, United Kingdom)
Rating
[?]

Book Description John Wiley & Sons Inc, United States, 2014. Hardback. Condition: New. 2nd Edition. Language: English. Brand new Book. 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. Seller Inventory # AAH9781119945499

More information about this seller | Contact this seller

Buy New
64.50
Convert currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, rates & speeds

4.

Galwey N. W.
Published by John Wiley & Sons, USA (2014)
ISBN 10: 1119945496 ISBN 13: 9781119945499
New Hardcover Quantity Available: 3
Seller:
STM Book Stores
(New Delhi, DELHI, India)
Rating
[?]

Book Description John Wiley & Sons, USA, 2014. Hardcover. Condition: Brand New. Book Condition:- Brand New. Secured Packaging. Fast DeliveryBookseller Inventory # STM-9781119945499. book. Seller Inventory # STM-9781119945499

More information about this seller | Contact this seller

Buy New
66.51
Convert currency

Add to Basket

Shipping: FREE
From India to U.S.A.
Destination, rates & speeds

5.

N. W. Galwey
Published by Wileyand#8211;Blackwell (2014)
ISBN 10: 1119945496 ISBN 13: 9781119945499
New Quantity Available: 15
Seller:
Books2Anywhere
(Fairford, GLOS, United Kingdom)
Rating
[?]

Book Description Wileyand#8211;Blackwell, 2014. HRD. Condition: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Seller Inventory # FW-9781119945499

More information about this seller | Contact this seller

Buy New
58.03
Convert currency

Add to Basket

Shipping: 9
From United Kingdom to U.S.A.
Destination, rates & speeds

6.

Galwey N.W.
Published by John Wiley & Sons
ISBN 10: 1119945496 ISBN 13: 9781119945499
New Quantity Available: 4
Seller:
Majestic Books
(London, ,, United Kingdom)
Rating
[?]

Book Description John Wiley & Sons. Condition: New. pp. 504. Seller Inventory # 322545620

More information about this seller | Contact this seller

Buy New
73.92
Convert currency

Add to Basket

Shipping: 5.50
From United Kingdom to U.S.A.
Destination, rates & speeds

7.

N. W. GALWEY
ISBN 10: 1119945496 ISBN 13: 9781119945499
New Hardcover Quantity Available: 1
Seller:
Herb Tandree Philosophy Books
(Stroud, GLOS, United Kingdom)
Rating
[?]

Book Description 2014. Hardback. Condition: NEW. 9781119945499 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Seller Inventory # HTANDREE0790471

More information about this seller | Contact this seller

Buy New
75.35
Convert currency

Add to Basket

Shipping: 7.98
From United Kingdom to U.S.A.
Destination, rates & speeds

8.

N.W. Galwey
Published by John Wiley & Sons Inc, United States (2014)
ISBN 10: 1119945496 ISBN 13: 9781119945499
New Hardcover First Edition Quantity Available: 10
Seller:
Book Depository hard to find
(London, United Kingdom)
Rating
[?]

Book Description John Wiley & Sons Inc, United States, 2014. Hardback. Condition: New. 2nd Edition. Language: English. Brand new Book. 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 monstrating 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. Seller Inventory # BTE9781119945499

More information about this seller | Contact this seller

Buy New
85.80
Convert currency

Add to Basket

Shipping: FREE
From United Kingdom to U.S.A.
Destination, rates & speeds

9.

N. W. Galwey
Published by Wiley (2014)
ISBN 10: 1119945496 ISBN 13: 9781119945499
New Hardcover Quantity Available: 1
Seller:
Irish Booksellers
(Portland, ME, U.S.A.)
Rating
[?]

Book Description Wiley, 2014. Condition: New. book. Seller Inventory # M1119945496

More information about this seller | Contact this seller

Buy New
84.88
Convert currency

Add to Basket

Shipping: 2.50
Within U.S.A.
Destination, rates & speeds

10.

Galwey, N. W.
Published by John Wiley & Sons Inc (2014)
ISBN 10: 1119945496 ISBN 13: 9781119945499
New Hardcover Quantity Available: 2
Seller:
Revaluation Books
(Exeter, United Kingdom)
Rating
[?]

Book Description John Wiley & Sons Inc, 2014. Hardcover. Condition: Brand New. 2nd edition. 487 pages. 9.00x6.00x1.00 inches. In Stock. Seller Inventory # __1119945496

More information about this seller | Contact this seller

Buy New
86.66
Convert currency

Add to Basket

Shipping: 7.50
From United Kingdom to U.S.A.
Destination, rates & speeds

There are more copies of this book

View all search results for this book