Download e-book for iPad: Analysis of Variance for Random Models: Volume I: Balanced by Hardeo Sahai, Mario M. Ojeda


By Hardeo Sahai, Mario M. Ojeda

ISBN-10: 081768168X

ISBN-13: 9780817681685

ISBN-10: 1461264707

ISBN-13: 9781461264705

Analysis of variance (ANOVA) types became universal instruments and play a basic function in a lot of the appliance of facts this day. particularly, ANOVA types related to random results have came upon frequent program to experimental layout in numerous fields requiring measurements of variance, together with agriculture, biology, animal breeding, utilized genetics, econometrics, qc, medication, engineering, and social sciences.

This two-volume paintings is a accomplished presentation of alternative equipment and methods for aspect estimation, period estimation, and checks of hypotheses for linear types concerning random results. either Bayesian and repeated sampling methods are thought of. quantity I examines types with balanced facts (orthogonal models); quantity II reports versions with unbalanced info (nonorthogonal models).

Features and themes:

* Systematic remedy of the generally hired crossed and nested class versions utilized in research of variance designs

* special and thorough dialogue of sure random results types no longer normally present in texts on the introductory or intermediate level

* Numerical examples to investigate information from a wide selection of disciplines

* Many labored examples containing desktop outputs from usual software program programs similar to SAS, SPSS, and BMDP for every numerical example

* broad workout units on the finish of every chapter

* various appendices with historical past reference recommendations, phrases, and results

* Balanced insurance of idea, tools, and sensible applications

* entire citations of vital and similar works on the finish of every bankruptcy, in addition to an intensive normal bibliography

Accessible to readers with just a modest mathematical and statistical historical past, the paintings will entice a extensive viewers of scholars, researchers, and practitioners within the mathematical, existence, social, and engineering sciences. it can be used as a textbook in upper-level undergraduate and graduate classes, or as a reference for readers attracted to using random results types for info analysis.

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Extra resources for Analysis of Variance for Random Models: Volume I: Balanced Data Theory, Methods, Applications and Data Analysis

Example text

H. O. Hetzer, G E. Dickerson, and J. H. Zeller (1944), Heritability of type in Poland China swine as evaluated by scoring, J. Animal Sci. , 3,390-398. R. R. Hocking (1989), Recent developments in variance components estimation, in G A. Milliken and J. R. , Proceedings ofthe Kansas State University Conference on Applied Statistics in Agriculture, Department of Statistics, Kansas State University, Manhattan, KS, 1-9. 16 Chapter 1. Introduction J. L. Hopper (1993), Variance components for statistical genetics : Applications in medical research to characteristics related to diseases and health, Statist.

L. Lush and A. E. S. Department ofAgriculture, Washington, DC. L. C. MacLean and K. L. Weldon (1996), Estimating multivariate random effects without replication, Comm. Statist. A Theory Methods, 25,1447-1469. J. D. Malley (1986), Optimal Unbiased Estimation of Variance Components, Lecture Notes in Statistics 39, Springer-Verlag, New York. T. Mathew (1989) , MANOVA in the multivariate components of variance model, J. , 29, 30-38. T. Mathew, A. Niyogi, and B. K. Sinha (1994), Improved nonnegative estimation of variance components in balanced multivariate mixed models, J.

London) , 10, 317-325. F. Yates (1977), Contribution to the discussion of the paper by J. A. NeIder, J. Roy. Statist. Soc. Ser. A, 140,48-76. F. Yatesand I. Zacopanay (1935) , The estimation of the efficiencyof sampling, with special reference to sampling in cereal experiments, J. Agricultural Sci. (Cambridge), 25, 545-577. W. J. Youden and A. Mehlich (1937), Selection of efficient methods for soil sampling, Contr. , 9, 59-70. D. S. Young, E. K. Harris, and E. , 17,403. J. Zhaorong, K. A. Matewice, and C.

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Analysis of Variance for Random Models: Volume I: Balanced Data Theory, Methods, Applications and Data Analysis by Hardeo Sahai, Mario M. Ojeda

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