ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
• Cambridge : Cambridge University Press  (1)
• Cambridge, United Kingdom : Cambridge University Press
• Cham, Switzerland : Birkhäuser
• English  (1)
Collection
Publisher
• Cambridge : Cambridge University Press  (1)
• Cambridge, United Kingdom : Cambridge University Press
• Cham, Switzerland : Birkhäuser
• Köln : DLR  (4)
• Amsterdam : Elsevier  (1)
Language
• English  (1)
Years
• 1
facet.materialart.12
Cambridge : Cambridge University Press
Call number: 9780511603365 (e-book)
Type of Medium: 12
Pages: 1 Online-Ressource (xiv, 442 Seiten) , Illustrationen
Edition: Revised edition
ISBN: 9780511603365
Language: English
Note: Table of Contents Foreword to the Revised Edition Preface 1 Observational Studies and Experiments 1.1 Introduction 1.2 The HIP trial 1.3 Snow on cholera 1.4 Yule on the causes of poverty Exercise set A 1.5 End notes 2 The Regression Line 2.1 Introduction 2.2 The regression line 2.3 Hooke’s law Exercise set A 2.4 Complexities 2.5 Simple vs multiple regression Exercise set B 2.6 End notes 3 Matrix Algebra 3.1 Introduction Exercise set A 3.2 Determinants and inverses Exercise set B 3.3 Random vectors Exercise set C 3.4 Positive definite matrices Exercise set D 3.5 The normal distribution Exercise set E 3.6 If you want a book on matrix algebra 4 Multiple Regression 4.1 Introduction Exercise set A 4.2 Standard errors Things we don’t need Exercise set B 4.3 Explained variance in multiple regression Association or causation? Exercise set C 4.4 What happens to OLS if the assumptions break down? 4.5 Discussion questions 4.6 End notes 5 Multiple Regression: Special Topics 5.1 Introduction 5.2 OLS is BLUE Exercise set A 5.3 Generalized least squares Exercise set B 5.4 Examples on GLS Exercise set C 5.5 What happens to GLS if the assumptions break down? 5.6 Normal theory Statistical significance Exercise set D 5.7 The F-test “The” F-test in applied work Exercise set E 5.8 Data snooping Exercise set F 5.9 Discussion questions 5.10 End notes 6 Path Models 6.1 Stratification Exercise set A 6.2 Hooke’s law revisited Exercise set B 6.3 Political repression during the McCarthy era Exercise set C 6.4 Inferring causation by regression Exercise set D 6.5 Response schedules for path diagrams Selection vs intervention Structural equations and stable parameters Ambiguity in notation Exercise set E 6.6 Dummy variables Types of variables 6.7 Discussion questions 6.8 End notes 7 Maximum Likelihood 7.1 Introduction Exercise set A 7.2 Probit models Why not regression? The latent-variable formulation Exercise set B Identification vs estimation What if the Ui are N (μ, σ 2)? Exercise set C 7.3 Logit models Exercise set D 7.4 The effect of Catholic schools Latent variables Response schedules The second equation Mechanics: bivariate probit Why a model rather than a cross-tab? Interactions More on table 3 in Evans and Schwab More on the second equation Exercise set E 7.5 Discussion questions 7.6 End notes 8 The Bootstrap 8.1 Introduction Exercise set A 8.2 Bootstrapping a model for energy demand Exercise set B 8.3 End notes 9 Simultaneous Equations 9.1 Introduction Exercise set A 9.2 Instrumental variables Exercise set B 9.3 Estimating the butter model Exercise set C 9.4 What are the two stages? Invariance assumptions 9.5 A social-science example: education and fertility More on Rindfuss et al 9.6 Covariates 9.7 Linear probability models The assumptions The questions Exercise set D 9.8 More on IVLS Some technical issues Exercise set E Simulations to illustrate IVLS 9.9 Discussion questions 9.10 End notes 10 Issues in Statistical Modeling 10.1 Introduction The bootstrap The role of asymptotics Philosophers’ stones The modelers’ response 10.2 Critical literature 10.3 Response schedules 10.4 Evaluating the models in chapters 7–9 10.5 Summing up References Answers to Exercises The Computer Labs Appendix: Sample MATLAB Code Reprints Gibson on McCarthy Evans and Schwab on Catholic Schools Rindfuss et al on Education and Fertility Schneider et al on Social Capital Index
Location Call Number Expected Availability
Others were also interested in ...
Close ⊗