Regression Analysis
portes grátis
Regression Analysis
A Practical Introduction
Arkes, Jeremy
Taylor & Francis Ltd
01/2023
392
Dura
Inglês
9781032257846
15 a 20 dias
920
Descrição não disponível.
1. Introduction
2. Regression analysis basics
3. Essential tools for regression analysis
4. What does "holding other factors constant" mean?
5. Standard errors, hypothesis tests, p-values, and aliens
6. What could go wrong when estimating causal effects?
7. Strategies for other regression objectives
8. Methods to address biases
9. Other methods besides Ordinary Least Squares
10. Time-series models
11. Some really interesting research
12. How to conduct a research project
13. The ethics of regression analysis
14. Summarizing thoughts
Appendix of background statistical tools
2. Regression analysis basics
3. Essential tools for regression analysis
4. What does "holding other factors constant" mean?
5. Standard errors, hypothesis tests, p-values, and aliens
6. What could go wrong when estimating causal effects?
7. Strategies for other regression objectives
8. Methods to address biases
9. Other methods besides Ordinary Least Squares
10. Time-series models
11. Some really interesting research
12. How to conduct a research project
13. The ethics of regression analysis
14. Summarizing thoughts
Appendix of background statistical tools
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
p-values;research project;variables;STATA;statistics;empirical analysis;linear regression;bayesian;econometrics;multivariate analysis;regression analysis;data analysis;Coefficient Estimates;AFQT Score;Dummy Variable;Key Explanatory Variable;Average Income;Regression Discontinuity Models;True Causal Effect;Insignificant Coefficient Estimate;Hot Hand Effect;Lagged Unemployment Rate;Gdp Growth;Non-normal Error Terms;State Unemployment Rates;Significant Coefficient Estimate;Empirical Relationship;Self-selection Bias;Hot Hand;Minimum Wage Increases;OLS Method;Fixed Effects Group;Standardized Coefficient Estimates;Estimating Peer Effects;Granger Causality Model;Time Series Variable;Negative Binomial
1. Introduction
2. Regression analysis basics
3. Essential tools for regression analysis
4. What does "holding other factors constant" mean?
5. Standard errors, hypothesis tests, p-values, and aliens
6. What could go wrong when estimating causal effects?
7. Strategies for other regression objectives
8. Methods to address biases
9. Other methods besides Ordinary Least Squares
10. Time-series models
11. Some really interesting research
12. How to conduct a research project
13. The ethics of regression analysis
14. Summarizing thoughts
Appendix of background statistical tools
2. Regression analysis basics
3. Essential tools for regression analysis
4. What does "holding other factors constant" mean?
5. Standard errors, hypothesis tests, p-values, and aliens
6. What could go wrong when estimating causal effects?
7. Strategies for other regression objectives
8. Methods to address biases
9. Other methods besides Ordinary Least Squares
10. Time-series models
11. Some really interesting research
12. How to conduct a research project
13. The ethics of regression analysis
14. Summarizing thoughts
Appendix of background statistical tools
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
p-values;research project;variables;STATA;statistics;empirical analysis;linear regression;bayesian;econometrics;multivariate analysis;regression analysis;data analysis;Coefficient Estimates;AFQT Score;Dummy Variable;Key Explanatory Variable;Average Income;Regression Discontinuity Models;True Causal Effect;Insignificant Coefficient Estimate;Hot Hand Effect;Lagged Unemployment Rate;Gdp Growth;Non-normal Error Terms;State Unemployment Rates;Significant Coefficient Estimate;Empirical Relationship;Self-selection Bias;Hot Hand;Minimum Wage Increases;OLS Method;Fixed Effects Group;Standardized Coefficient Estimates;Estimating Peer Effects;Granger Causality Model;Time Series Variable;Negative Binomial
