Variance Components by Searle Shayle (34 results)

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Hardcover. Condition: Very Good. Dust Jacket Condition: Very Good -. Book and dust jacket are gently used with some minor wear. Dust jacket has some edge folds and edge rubbing. Previous owner's name on front free endpaper. Tightly bound copy with clean interior having no markings, writing, underlining, or highlighting in margins or text block. Inv. # 13392. …

Hardcover. Condition: Very Good. Hardcover. Very Good. Hardcover Book with Jacket.

Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

Paperback. Condition: Good+. First THUS. Good+ paperback copy (NOT ex-library). Spine is uncreased, binding tight and sturdy; shelfwear is very minor. About a dozen pages with pencil markings. 1st printing of this edition, with complete number line. Ships same or next business day from Dinkytown in Minneapolis, Minnesota.…

Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Paperback. Condition: Good. This volume is written on the subject of the summarizing of the variability of statistical data known as the analysis of variance table. Penned in a readable style, it provides an up-to-date treatment of research in the area.

Hardcover. Condition: Near Fine. No Jacket. 1st Edition. Hard cover. Condition: Near Fine. No jacket. Excellent condition, clean and unmarked aside from previous owner's name on inside front cover. Binding feels tight and crisp. Clean boards. All books packed with care and shipped in cardboard.

Hard cover. Condition: Very good. No jacket. Excellent condition, clean and unmarked aside from previous owner's name on inside front cover.

Hardcover. Condition: Very GOOD. Dust Jacket Condition: GOOD. SIGNED by both Searle and Casella on title page. Hardcover in unclipped jacket. End papers list all Wiley published books on Probability and Mathematical Statistics. light scuffing to DJ covers.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: new.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Paperback. Condition: New. WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ". . .Variance Components is an excellent book. It is organized and well written, and provides many references to a variety of topics. I recommend it to anyone with interest in linear models." -Journal of the American Statistical Association "This book provides a broad coverage of methods for estimating variance components which appeal to students and research workers . . . The authors make an outstanding contribution to teaching and research in the field of variance component estimation." -Mathematical Reviews "The authors have done an excellent job in collecting materials on a broad range of topics. Readers will indeed gain from using this book . . . I must say that the authors have done a commendable job in their scholarly presentation." -Technometrics This book focuses on summarizing the variability of statistical data known as the analysis of variance table. Penned in a readable style, it provides an up-to-date treatment of research in the area. The book begins with the history of analysis of variance and continues with discussions of balanced data, analysis of variance for unbalanced data, predictions of random variables, hierarchical models and Bayesian estimation, binary and discrete data, and the dispersion mean model.…

Condition: New. In English.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: New. pp. 536.

Condition: NEW.

Condition: New. This volume is written on the subject of the summarizing of the variability of statistical data known as the analysis of variance table. Penned in a readable style, it provides an up-to-date treatment of research in the area. Series: Wiley Series in Probability and Statistics. Num Pages: 536 pages, black & white illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 233 x 159 x 29. Weight in Grams: 774. . 2006. 1st Edition. Paperback. . . . .…

Condition: New. pp. 536.

Condition: New. SHAYLE R. SEARLE, PhD, is Professor Emeritus of Biometry at Cornell University. He is the author of Linear Models, Linear Models for Unbalanced Data, and Matrix Algebra Useful for Statistics, all from Wiley.GEORGE CASELLA, PhD, is Professor and Chair of the.

paperback. Condition: New. In shrink wrap. Looks like an interesting title.

Paperback. Condition: Brand New. 1st edition. 501 pages. 9.25x6.25x1.25 inches. In Stock.

Condition: New. This volume is written on the subject of the summarizing of the variability of statistical data known as the analysis of variance table. Penned in a readable style, it provides an up-to-date treatment of research in the area. Series: Wiley Series in Probability and Statistics. Num Pages: 536 pages, black & white illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 233 x 159 x 29. Weight in Grams: 774. . 2006. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.…

Paperback. Condition: New. WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ". . .Variance Components is an excellent book. It is organized and well written, and provides many references to a variety of topics. I recommend it to anyone with interest in linear models." -Journal of the American Statistical Association "This book provides a broad coverage of methods for estimating variance components which appeal to students and research workers . . . The authors make an outstanding contribution to teaching and research in the field of variance component estimation." -Mathematical Reviews "The authors have done an excellent job in collecting materials on a broad range of topics. Readers will indeed gain from using this book . . . I must say that the authors have done a commendable job in their scholarly presentation." -Technometrics This book focuses on summarizing the variability of statistical data known as the analysis of variance table. Penned in a readable style, it provides an up-to-date treatment of research in the area. The book begins with the history of analysis of variance and continues with discussions of balanced data, analysis of variance for unbalanced data, predictions of random variables, hierarchical models and Bayesian estimation, binary and discrete data, and the dispersion mean model.…

Hardcover. Condition: Fine in Very Good dust jacket. First edition. 24 x 16 cm. Octavo. 501pp. Black cloth in dust jacket. Jacket spine is faded. Wiley Series in Probability and Mathematical Statistics. From the jacket flap: This book presents broad coverage of variance components estimation and mixed models. Its chapters cover history, analysis of variance estimation, maximum likelihood estimation, Bayes estimation and hierarchical models, categorical data, covariance components and minimum norm estimation, dispersion-mean model, kurtosis and fourth movements, and estimation from balanced and unbalanced data.…