This book goes beyond specific methods in specific applications to consider the full range of techniques which can be used to solve a statistical problem. This applied text treats general topics such as one- and two-sample problems, one- and two-way classifications, regression analysis, ratios and variances. It includes helpful problem-solving hints and references along with theoretical and real-life exercises at the end of each chapter.

lgli/_500901.2456c826f313c37b32f6a869d4cf93c9.djvu

lgrsnf/_500901.2456c826f313c37b32f6a869d4cf93c9.djvu

zlib/Mathematics/Rupert G. Miller, Jr./Beyond ANOVA, Basics of Applied Statistics (Wiley Series in Probability and Statistics)_1169705.djvu

Miller, Rupert G., Jr.

Jossey-Bass, Incorporated Publishers

WILEY COMPUTING Publisher

United States, United States of America

New York Chichester [etc, 1986

2nd Printing, PS, 1986

New York, 1985

1984

2011 12 30

lg731646

{"isbns":["0471819220","9780471819226"],"last_page":330,"publisher":"Wiley","series":"Wiley Series in Probability and Statistics"}

Bibliography: p. [279]-307.
Includes indexes.

Preface......Page f005.djvu
Acknowledgments......Page f007.djvu
Contents......Page f009.djvu
1.1 Normal Theory......Page p001.djvu
1.2.1 Effect......Page p005.djvu
1.2.2 Detection......Page p010.djvu
Transformations......Page p016.djvu
Nonparametric Techniques......Page p019.djvu
Robust Estimation......Page p028.djvu
1.3 Dependence......Page p032.djvu
1.3.1 Effect......Page p034.djvu
1.3.2 Detection......Page p035.djvu
1.3.3 Correction......Page p036.djvu
Exercises......Page p037.djvu
2.1 Normal Theory......Page p040.djvu
2.2.1 Effect......Page p041.djvu
Transformations......Page p044.djvu
Nonparametric Techniques......Page p045.djvu
Robust Estimation......Page p054.djvu
2.3.1 Effect......Page p056.djvu
Transformations......Page p058.djvu
Other Tests......Page p060.djvu
2.4 Dependence......Page p063.djvu
Exercises......Page p064.djvu
3 ONE-WAY CLASSIFICATION......Page p067.djvu
3.1.1 Analysis of Variance (ANOVA)......Page p069.djvu
3.1.2 Multiple Comparisons......Page p071.djvu
3.1.3 Monotone Alternatives......Page p076.djvu
3.2.1 Effect......Page p080.djvu
Nonparametric Techniques......Page p082.djvu
3.3.1 Effect......Page p089.djvu
3.3.3 Correction......Page p092.djvu
3.4 Dependence......Page p094.djvu
3.5 Normal Theory......Page p095.djvu
3.5.1 Estimation of Variance Components......Page p096.djvu
3.5.2 Tests for Variance Components......Page p099.djvu
3.5.3 Estimation of Individual Effects......Page p101.djvu
3.5.4 Estimation of the Overall Mean......Page p104.djvu
3.6.1 Effect......Page p105.djvu
3.6.2 Detection......Page p107.djvu
3.6.3 Correction......Page p108.djvu
3.7 Unequal Variances......Page p109.djvu
3.8 Dependence......Page p110.djvu
Exercises......Page p111.djvu
4 TWO-WAY CLASSIFICATION......Page p117.djvu
4.1 Normal Theory......Page p118.djvu
4.1.1 Analysis of Variance (ANOVA)......Page p119.djvu
4.1.2 Multiple Comparisons......Page p129.djvu
4.1.3 Monotone Alternatives......Page p131.djvu
4.2.1 Effect......Page p135.djvu
4.2.2 Detection......Page p136.djvu
Nonparametric Techniques......Page p137.djvu
4.3.1 Effect......Page p140.djvu
4.4 Dependence......Page p141.djvu
4.5 Normal Theory......Page p143.djvu
4.6 Departures from Assumptions......Page p149.djvu
4.7 Normal Theory......Page p150.djvu
4.7.1 Estimation of Variance Components......Page p151.djvu
4.7.2 Tests for Variance Components......Page p155.djvu
4.7.3 Estimation of Individual Effects and Overall Mean......Page p157.djvu
4.8 Departures from Assumptions......Page p158.djvu
Exercises......Page p159.djvu
5 REGRESSION......Page p164.djvu
5.1.1 One Sample: General Intercept......Page p168.djvu
5.1.2 One Sample: Zero Intercept......Page p181.djvu
5.1.3 Multisamples: General Intercepts......Page p184.djvu
5.1.4 Multisamples: Zero Intercepts......Page p191.djvu
5.2 Nonlinearity......Page p193.djvu
5.2.2 Detection......Page p194.djvu
5.2.3 Correction......Page p196.djvu
5.3.1 Effect......Page p199.djvu
5.3.3 Correction......Page p202.djvu
5.4 Unequal Variances......Page p207.djvu
5.4.1 Effect......Page p208.djvu
5.4.2 Detection......Page p209.djvu
5.4.3 Correction......Page p210.djvu
5.5 Dependence......Page p214.djvu
ERRORS-IN-VARIABLES MODEL......Page p220.djvu
5.6 Normal Theory......Page p224.djvu
5.7 Departures from Assumptions......Page p231.djvu
Exercises......Page p234.djvu
6 RATIOS......Page p241.djvu
6.1 Normal Theory......Page p242.djvu
6.2 Departures from Assumptions......Page p249.djvu
Exercises......Page p254.djvu
7.1 Normal Theory......Page p259.djvu
7.2.1 Effect......Page p264.djvu
7.2.2 Detection......Page p265.djvu
7.2.3 Correction......Page p266.djvu
7.3 Dependence......Page p275.djvu
Exercises......Page p276.djvu
REFERENCES......Page p279.djvu
AUTHOR INDEX......Page p308.djvu
SUBJECT INDEX......Page p313.djvu

1. One Sample -- 2. Two Samples -- 3. One-way Classification -- 4. Two-way Classification -- 5. Regression -- 6. Ratios -- 7. Variances. Rupert G. Miller, Jr. Includes Indexes. Bibliography: P. [279]-307.

2012-02-04