Data analysis using regression and multilevel/hierarchical models /
Gelman, Andrew.
Data analysis using regression and multilevel/hierarchical models / Andrew Gelman and Jennifer Hill. - Cambridge : Cambridge University Press, 2007. - xxii, 625 p. : ill. 26 cm - Analytical methods for social research .
Includes bibliographical references.
1.Why? -- 2.Concepts and methods from basic probability and statistics -- Part 1A: Single-level regression -- 3.Linear regression: the basics -- 4.Linear regression: before and after fitting the model -- 5.Logistic regression -- 6.Generalized linear models -- Part 1B: Working with regression inferences -- 7.Simulation of probability models and statistical inferences -- 8.Simulation for checking statistical procedures and model fits -- 9.Casual inference using regression on the treatment variable -- 10.Casual inference using mode advanced models -- Part 2.Multivlevel structures -- 12.Multilevel linear models: the basics -- 13.Multilevel linear models: varying slops, non-rest models and other complexities -- 14. Multilevel logistic regression -- 15.Multilevel generalized linear models - Part 2B: Fitting multilevel models -- 16.Multilevel modeling in Bugs and R: the basics -- 17.Fitting multilevel linear and generalized linear models in Bugs and R -- 18.Likelihood and Bayesian inference and computation 19.Debugging and speeding convergence -- Part 3: From data collection to model understanding to model checking -- 20.Sample size and power calculations -- 21.Understanding and summarizing the fitted models -- 22.Analysis of variance -- 23.Casual inference using multilelvel models -- 24.Model checking and comparison --25.Missing-data imputation.
No further information has been provided for this title.
9780521867061 (hbk.) : �55.00 9780521686891 (pbk.) : �24.99 9780521686891 (pbk.) 0521867061 9780521867061 052168689X (pbk.)
2006040566
Regression analysis.
Multilevel models (Statistics)
Mathematics.
Social research & statistics
Psychological testing & measurement
Probability & statistics
Calculus & mathematical analysis
HA31.3 / .G45 2006
519.536 GEL
Data analysis using regression and multilevel/hierarchical models / Andrew Gelman and Jennifer Hill. - Cambridge : Cambridge University Press, 2007. - xxii, 625 p. : ill. 26 cm - Analytical methods for social research .
Includes bibliographical references.
1.Why? -- 2.Concepts and methods from basic probability and statistics -- Part 1A: Single-level regression -- 3.Linear regression: the basics -- 4.Linear regression: before and after fitting the model -- 5.Logistic regression -- 6.Generalized linear models -- Part 1B: Working with regression inferences -- 7.Simulation of probability models and statistical inferences -- 8.Simulation for checking statistical procedures and model fits -- 9.Casual inference using regression on the treatment variable -- 10.Casual inference using mode advanced models -- Part 2.Multivlevel structures -- 12.Multilevel linear models: the basics -- 13.Multilevel linear models: varying slops, non-rest models and other complexities -- 14. Multilevel logistic regression -- 15.Multilevel generalized linear models - Part 2B: Fitting multilevel models -- 16.Multilevel modeling in Bugs and R: the basics -- 17.Fitting multilevel linear and generalized linear models in Bugs and R -- 18.Likelihood and Bayesian inference and computation 19.Debugging and speeding convergence -- Part 3: From data collection to model understanding to model checking -- 20.Sample size and power calculations -- 21.Understanding and summarizing the fitted models -- 22.Analysis of variance -- 23.Casual inference using multilelvel models -- 24.Model checking and comparison --25.Missing-data imputation.
No further information has been provided for this title.
9780521867061 (hbk.) : �55.00 9780521686891 (pbk.) : �24.99 9780521686891 (pbk.) 0521867061 9780521867061 052168689X (pbk.)
2006040566
Regression analysis.
Multilevel models (Statistics)
Mathematics.
Social research & statistics
Psychological testing & measurement
Probability & statistics
Calculus & mathematical analysis
HA31.3 / .G45 2006
519.536 GEL