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عنوان
Common errors in statistics (and how to avoid them)

پدید آورنده
/ Phillip I. Good, James W. Hardin

موضوع
Statistics

رده
QA276
.
G586
2006

کتابخانه
Central Library, Center of Documentation and Supply of Scientific Resources

محل استقرار
استان: East Azarbaijan ـ شهر:

Central Library, Center of Documentation and Supply of Scientific Resources

تماس با کتابخانه : 04133443834

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
0471794317

NATIONAL BIBLIOGRAPHY NUMBER

Country Code
IR
Number
E-7249

LANGUAGE OF THE ITEM

.Language of Text, Soundtrack etc
انگلیسی

COUNTRY OF PUBLICATION OR PRODUCTlON

Country of publication
IR

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Common errors in statistics (and how to avoid them)
General Material Designation
[Book]
First Statement of Responsibility
/ Phillip I. Good, James W. Hardin

EDITION STATEMENT

Edition Statement
2nd ed.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Hoboken, N.J.
Name of Publisher, Distributor, etc.
: Wiley
Date of Publication, Distribution, etc.
, 2006.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
xi, 254 p. , ill. , 23 cm.

NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.

Text of Note
Print

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references (p. 223-242) and index.

CONTENTS NOTE

Text of Note
pt. 3.Building a model --10.Univariate regression --Model selection --Estimating coefficients --Further considerations --Summary --To learn more --11.Alternate methods of regression --Linear vs. Nonlinear regression --Least absolute deviation regression --Errors-in-variables regression --Quantile regression --Theecological fallacy --Nonsense regression --Summary --To learn more --12.Multivariable regression --Caveats --Factor analysis --Generalized linear models --Reporting your results --Aconjecture --Building a successful model --To learn more --13.Validation --Methods of validation --Measures of predictive success --Long-term stability --To learn more --appendix A. Anote on screening regression equations --appendix B.Cross-validation, the jackknife, and the bootstrap : excess error estimation in forward logistic regression --Glossary, grouped by related but distinct terms --Bibliography --Author index--Subject index.
Text of Note
pt. 2.Hypothesis testing and estimation --4.Estimation --Prevention --Desirable and not-so-desirable estimators --Interval estimates --Improved results --Summary --To learn more --5.Testing hypotheses : choosing a test statistic --Comparing means of two populations --Comparing variances --Comparing the means of K samples --Higher-order experimental designs --Contingency tables --Inferior tests --Multiple tests --Before you draw conclusions --Summary --To learn more --6.Strengths and limitations of some miscellaneous statistical procedures --Bootstrap --Bayesian methodology --Meta-analysis --Permutation tests --To learn more --7.Reporting your results --Fundamentals --Tables --Standard error --p-values --Confidence intervals --Recognizing and reporting biases --Reporting power --Drawing conclusions --Summary --To learn more --8.Interpreting reports --With a grain of salt --Rates and percentages --Interpreting computer printouts --9.Graphics --Thesoccer data --Five rules for avoiding bad graphics --One rule for correct usage of three-dimensional graphics --One rule for the misunderstood pie chart --Two rules for effective display of subgroup information --Two rules for text elements in graphics --Multidimensional displays --Choosing effective display elements --Choosing graphical displays --Summary --To learn more --
Text of Note
Preface --pt. 1.Foundations --1.Sources of error --Prescription --Fundamental concepts --Ad hoc, post hoc hypotheses --2.Hypotheses : the why of your research --Prescription --What is a hypothesis? --How precise must a hypothesis be? --Found data --Null hypothesis --Neyman-Pearson theory --Deduction and induction --Losses --Decisions --To learn more --3.Collecting data --Preparation --Measuring devices --Determining sample size --Fundamental assumptions --Experimental design --Four guidelines --Are experiments really necessary? --To learn more --

TOPICAL NAME USED AS SUBJECT

Statistics

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA276
Book number
.
G586
2006

PERSONAL NAME - PRIMARY RESPONSIBILITY

Good, Phillip I.

PERSONAL NAME - SECONDARY RESPONSIBILITY

Hardin, James W.(James William)

ORIGINATING SOURCE

Country
ایران

old catalog

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BL
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