عنوان

Common errors in statistics (and how to avoid them)

0471794317

IR

E-7249

انگلیسی

IR

Common errors in statistics (and how to avoid them)

[Book]

/ Phillip I. Good, James W. Hardin

2nd ed.

Hoboken, N.J.

: Wiley

, 2006.

xi, 254 p. , ill. , 23 cm.

Print

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

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.

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 --

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 --

Statistics

Good, Phillip I.

Hardin, James W.(James William)

ایران

old catalog

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BL

1

a

Y