Categorical and Nonparametric Data Analysis
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Categorical and Nonparametric Data Analysis
Choosing the Best Statistical Technique
Nussbaum, E. Michael
Taylor & Francis Ltd
05/2024
520
Mole
Inglês
9780367698157
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Levels of Measurement, Probability, and the Binomial Formula
2. Estimation and Hypothesis Testing
3. Random Variables and Probability Distributions
4. Contingency Tables: The Chi-Square Test of Independence and Associated Effect Sizes
5. Contingency Tables: Special Situations
6. Basic Nonparametric Tests for Ordinal Data
7. Nonparametric Tests for Multiple Independent Samples
8. Nonparametric Tests for Related Samples
9. Linear Regression and Generalized Linear Models
10. Binary Logistic Regression
11. Multinomial Logistic, Ordinal, and Poisson Regression
12. Loglinear Analysis
13. General Estimating Equations
14. Estimation Procedures
15. Choosing the Best Statistical Technique
Answers to Odd Numbered Problems
2. Estimation and Hypothesis Testing
3. Random Variables and Probability Distributions
4. Contingency Tables: The Chi-Square Test of Independence and Associated Effect Sizes
5. Contingency Tables: Special Situations
6. Basic Nonparametric Tests for Ordinal Data
7. Nonparametric Tests for Multiple Independent Samples
8. Nonparametric Tests for Related Samples
9. Linear Regression and Generalized Linear Models
10. Binary Logistic Regression
11. Multinomial Logistic, Ordinal, and Poisson Regression
12. Loglinear Analysis
13. General Estimating Equations
14. Estimation Procedures
15. Choosing the Best Statistical Technique
Answers to Odd Numbered Problems
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
hypothesis;sampling;distribution;continuity;correction;wilcoxon-mann-whitney;test;contingency;ANOVA;SPSS;R;linear regression;nonparametric interaction effects;contingency tables;t tests;conceptual framework;applied research;ordinal variable;dummy variables;metric variable;poisson regression;log-linear models;general estimating equations;fisher scoring;advanced statistics;basic statistics
1. Levels of Measurement, Probability, and the Binomial Formula
2. Estimation and Hypothesis Testing
3. Random Variables and Probability Distributions
4. Contingency Tables: The Chi-Square Test of Independence and Associated Effect Sizes
5. Contingency Tables: Special Situations
6. Basic Nonparametric Tests for Ordinal Data
7. Nonparametric Tests for Multiple Independent Samples
8. Nonparametric Tests for Related Samples
9. Linear Regression and Generalized Linear Models
10. Binary Logistic Regression
11. Multinomial Logistic, Ordinal, and Poisson Regression
12. Loglinear Analysis
13. General Estimating Equations
14. Estimation Procedures
15. Choosing the Best Statistical Technique
Answers to Odd Numbered Problems
2. Estimation and Hypothesis Testing
3. Random Variables and Probability Distributions
4. Contingency Tables: The Chi-Square Test of Independence and Associated Effect Sizes
5. Contingency Tables: Special Situations
6. Basic Nonparametric Tests for Ordinal Data
7. Nonparametric Tests for Multiple Independent Samples
8. Nonparametric Tests for Related Samples
9. Linear Regression and Generalized Linear Models
10. Binary Logistic Regression
11. Multinomial Logistic, Ordinal, and Poisson Regression
12. Loglinear Analysis
13. General Estimating Equations
14. Estimation Procedures
15. Choosing the Best Statistical Technique
Answers to Odd Numbered Problems
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
hypothesis;sampling;distribution;continuity;correction;wilcoxon-mann-whitney;test;contingency;ANOVA;SPSS;R;linear regression;nonparametric interaction effects;contingency tables;t tests;conceptual framework;applied research;ordinal variable;dummy variables;metric variable;poisson regression;log-linear models;general estimating equations;fisher scoring;advanced statistics;basic statistics
