The Analysis of Variance Fixed, Random and Mixed Models / by Hardeo Sahai, Mohammed I. Ageel.

The analysis of variance (ANOYA) models have become one of the most widely used tools of modern statistics for analyzing multifactor data. The ANOYA models provide versatile statistical tools for studying the relationship between a dependent variable and one or more independent variables. The ANOYA...

Full description

Saved in:
Bibliographic Details
Main Authors: Sahai, Hardeo (Author), Ageel, Mohammed I. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2000.
Edition:1st ed. 2000.
Series:Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.

MARC

LEADER 00000nam a22000005i 4500
001 b3191854
003 MWH
005 20191026052417.0
007 cr nn 008mamaa
008 121227s2000 xxu| s |||| 0|eng d
020 |a 9781461213444 
024 7 |a 10.1007/978-1-4612-1344-4  |2 doi 
035 |a (DE-He213)978-1-4612-1344-4 
050 4 |a E-Book 
072 7 |a PBW  |2 bicssc 
072 7 |a MAT003000  |2 bisacsh 
072 7 |a PBW  |2 thema 
100 1 |a Sahai, Hardeo.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 4 |a The Analysis of Variance  |h [electronic resource] :  |b Fixed, Random and Mixed Models /  |c by Hardeo Sahai, Mohammed I. Ageel. 
250 |a 1st ed. 2000. 
264 1 |a Boston, MA :  |b Birkhäuser Boston :  |b Imprint: Birkhäuser,  |c 2000. 
300 |a XXXV, 742 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Springer eBook Collection 
505 0 |a 1. Introduction -- 2. One-Way Classification -- 3. Two-Way Crossed Classification Without Interaction -- 4. Two-Way Crossed Classification With Interaction -- 5. Three-Way and Higher-Order Crossed Classifications -- 6. Two-Way Nested (Hierarchical) Classification -- 7. Three-Way and Higher-Order Nested Classifications -- 8. Partially Nested Classifications -- 9. Finite Population and Other Models -- 10. Some Simple Experimental Designs -- 11. Analysis of Variance Using Statistical Computing Packages -- Appendices -- B Chi-Square Distribution -- E Noncentral Chi-Square Distribution -- I Studentized Range Distribution -- J Studentized Maximum Modulus Distribution -- K Satterthwaite Procedure and Its Application to -- Analysis of Variance -- L Components of Variance -- M Intraclass Correlation -- N Analysis of Covariance -- Q Expected Value and Variance -- R Covariance and Correlation -- S Rules for Determining the Analysis of Variance Model -- T Rules for Calculating Sums of Squares and Degrees of Freedom -- U Rules for Finding Expected Mean Squares -- V Samples and Sampling Distribution -- W Methods of Statistical Inference -- X Some Selected Latin Squares -- Y Some Selected Graeco-Latin Squares -- Z PROC MIXED Outputs for Some Selected -- Worked Examples -- Statistical Tables and Charts -- Tables -- I Cumulative Standard Normal Distribution -- II Percentage Points of the Standard Normal Distribution -- IV Critical Values of the Chi-Square Distribution -- X Critical Values of the Studentized Range Distribution -- XI Critical Values of the Dunnett’s Test -- XII Critical Values of the Duncan’s Multiple Range Test -- XIV Critical Values of the Dunn-Sidák’s Multiple Comparison Test -- XV Critical Values of the Studentized Maximum Modulus Distribution -- XVI Critical Values of the Studentized Augmented Range Distribution -- XVIII Coefficients of Order Statistics for the Shapiro-Wilk’s W Test for Normality -- XIX Critical Values of the Shapiro-Wilk’s W Test for Normality -- XXI Critical Values of the Bartlett’s Test for Homogeneity of Variances -- XXIII Critical Values of the Cochran’s C Test for Homogeneity of Variances -- XXIV Random Numbers -- Charts -- IV Curves of Constant Power for Determination of Sample Size in a One-Way Analysis of Variance (Fixed -- Effects Model): Feldt-Mahmoud Charts -- References -- Author Index. 
520 |a The analysis of variance (ANOYA) models have become one of the most widely used tools of modern statistics for analyzing multifactor data. The ANOYA models provide versatile statistical tools for studying the relationship between a dependent variable and one or more independent variables. The ANOYA mod­ els are employed to determine whether different variables interact and which factors or factor combinations are most important. They are appealing because they provide a conceptually simple technique for investigating statistical rela­ tionships among different independent variables known as factors. Currently there are several texts and monographs available on the sub­ ject. However, some of them such as those of Scheffe (1959) and Fisher and McDonald (1978), are written for mathematically advanced readers, requiring a good background in calculus, matrix algebra, and statistical theory; whereas others such as Guenther (1964), Huitson (1971), and Dunn and Clark (1987), although they assume only a background in elementary algebra and statistics, treat the subject somewhat scantily and provide only a superficial discussion of the random and mixed effects analysis of variance. 
590 |a Loaded electronically. 
590 |a Electronic access restricted to members of the Holy Cross Community. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Probabilities. 
650 0 |a Statistics . 
650 0 |a Mathematical analysis. 
650 0 |a Analysis (Mathematics). 
690 |a Electronic resources (E-books) 
700 1 |a Ageel, Mohammed I.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
830 0 |a Springer eBook Collection. 
856 4 0 |u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/978-1-4612-1344-4  |3 Click to view e-book 
907 |a .b31918542  |b 04-18-22  |c 02-26-20 
998 |a he  |b 02-26-20  |c m  |d @   |e -  |f eng  |g xxu  |h 4  |i 1 
912 |a ZDB-2-SMA 
912 |a ZDB-2-BAE 
950 |a Mathematics and Statistics (Springer-11649) 
902 |a springer purchased ebooks 
903 |a SEB-COLL 
945 |f  - -   |g 1  |h 0  |j  - -   |k  - -   |l he   |o -  |p $0.00  |q -  |r -  |s b   |t 38  |u 0  |v 0  |w 0  |x 0  |y .i2105017x  |z 02-26-20 
999 f f |i 3512fcf1-07cb-5107-a70b-202b78894c3e  |s 17bfa567-cb7b-54b8-b695-b9fd94ac09eb 
952 f f |p Online  |a College of the Holy Cross  |b Main Campus  |c E-Resources  |d Online  |e E-Book  |h Library of Congress classification  |i Elec File  |n 1