Common Errors in Statistics

ISBN-10: 0471794317

ISBN-13: 9780471794318

Edition: 2nd 2006 (Revised)

List price: $84.95
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Description:

Common Errors is consistently coherent and provides a consistent level throughout.The Second Edition elaborates ona few key topics such as testing hypotheses (two-way designs) and multivariate regression (nonuniqueness and indicator variables).
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Book details

List price: $84.95
Edition: 2nd
Copyright year: 2006
Publisher: John Wiley & Sons, Incorporated
Publication date: 4/28/2006
Binding: Paperback
Pages: 272
Size: 6.00" wide x 8.75" long x 0.75" tall
Weight: 0.946
Language: English

Preface
Foundations.
Sources of Error
Prescription
Fundamental Concepts
Ad Hoc, Post Hoc Hypotheses
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
Collecting Data
Preparation
Measuring Devices
Determining Sample Size
Fundamental Assumptions
Experimental Design
Four Guidelines
Are Experiments Really Necessary?
To Learn More
Hypothesis Testing And Estimation.
Estimation
Prevention
Desirable and Not-So-Desirable Estimators
Interval Estimates
Improved Results
Summary
To Learn More
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
Strengths and Limitations of Some Miscellaneous Statistical Procedures
Bootstrap
Bayesian Methodology
Meta-Analysis
Permutation Tests
To Learn More
Reporting Your Results
Fundamentals
Tables
Standard Error
p-Values
Confidence Intervals
Recognizing and Reporting Biases
Reporting Power
Drawing Conclusions
Summary
To Learn More
Interpreting Reports
With A Grain of Salt
Rates and Percentages
Interpreting Computer Printouts
Graphics
The Soccer Data
Five Rules for Avoiding Bad Graphics
One Rule for Correct Usage of Three-Dimensional Graphics
The Misunderstood Pie Chart
Two Rules for Effective Display of Subgroup Information
Two Rules for Text Elements in Graphics
Multidimensional Displays
Choosing Graphical Displays
Summary
To Learn More
Building A Model.
Univariate Regression
Model Selection
Estimating Coefficients
Further Considerations
Summary
To Learn More
Alternate Methods of Regression
Linear vs. Nonlinear Regression
Least Absolute Deviation Regression
Errors-in-Variables Regression
Quantile Regression
The Ecological Fallacy
Nonsense Regression
Summary
To Learn More
Multivariable Regression
Caveats
Factor Analysis
General Linearized Models
Reporting Your Results
A Conjecture
Decision Trees
Building a Successful Model
To Learn More
Validation
Methods of Validation
Measures of Predictive Success
Long-Term Stability
To Learn More
Appendix A.
Appendix B.
Glossary, Grouped by Related but Distinct Terms.
Bibliography.
Author Index.
Subject Index.
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