rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Statistical methods for social scientists
  name:
    name part: Hanushek, Eric A. (Eric Alan)
    name part: 1943-
    role:
      role term: creator
  name:
    name part: Jackson, John Edgar
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nyu
    place:
      place term: New York
    publisher: Academic Press
    date issued: ©1977
    date issued: 1977
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xiii, 374 pages) : illustrations
  abstract: The aspects of this text which we believe are novel, at least in degree, include: an effort to motivate different sections with practical examples and an empirical orientation; an effort to intersperse several easily motivated examples throughout the book and to maintain some continuity in these examples; and the extensive use of Monte Carlo simulations to demonstrate particular aspects of the problems and estimators being considered. In terms of material being presented, the unique aspects include the first chapter which attempts to address the use of empirical methods in the social sciences, the seventh chapter which considers models with discrete dependent variables and unobserved variables. Clearly these last two topics in particular are quite advanced--more advanced than material that is currently available on the subject. These last two topics are also currently experiencing rapid development and are not adequately described in most other texts.
  table of contents: Front Cover; Statistical Methods for Social Scientists; Copyright Page; Table of Contents; Preface; Acknowledgments; Chapter 1. Empirical Analyses in the Social Sciences; 1.1 Introduction; 1.2 Social Science Theory and Statistical Models; 1.3 Fitting Models to Data; 1.4 The Development of Stochastic Models; 1.5 The Analysis of Nonexperimental Data and the Selection of a Statistical Procedure; 1.6 Simple Methods; REVIEW QUESTIONS; Chapter 2. Estimation with Simple Linear Models; 2.1 Introduction; 2.2 The Basic Model; 2.3 Least Squares Estimators; 2.4 Two Examples; 2.5 Conclusion; APPENDIX 2.1.
  table of contents: APPENDIX 2.2REVIEW QUESTIONS; Chapter 3. Least Squares Estimators: Statistical Properties and Hypothesis Testing; 3.1 Introduction; 3.2 Properties of Least Squares Estimators; 3.3 Distribution of b-A Monte Carlo Experiment; 3.4 Statistical Inference; 3.5 Hypothesis Tests for Schooling/Earnings Model; 3.6 Conclusion; APPENDIX 3.1; REVIEW QUESTIONS; Chapter 4. Ordinary Least Squares in Practice; 4.1 Introduction; 4.2 Interpretation of Regression Coefficients; 4.3 Model Specification; 4.4 Multicollinearity; 4.5 Model Specification and Multicollinearity in Practice; 4.6 Functional Forms.
  table of contents: 4.7 Dummy Explanatory VariablesREVIEW QUESTIONS; Chapter 5. Multivariate Estimation in Matrix Form; 5.1 Introduction; 5.2 The Least Squares Estimators; 5.3 Least Squares in Matrix Notation; 5.4 Properties of Least Squares; 5.5 Distributional Aspects of the Error Term; 5.6 Statistical Inference; 5.7 Multivariate Education Example; 5.8 Multicollinearity; 5.9 Conclusion; APPENDIX 5.1; APPENDIX 5.2; REVIEW QUESTIONS; Cahpter 6. Generalized Least Squares; 6.1 Introduction; 6.2 Heteroskedasticity and Autocorrelation; 6.3 Formal Statement of the Problem; 6.4 Generalized Least Squares.
  table of contents: 6.5 Generalized Least Squares and Examples of Heteroskedasticity and Autocorrelation6.6 Generalized Least Squares and Weighted Regression; 6.7 Monte Carlo Simulation of Generalized Least Squares; 6.8 Generalized Least Squares in Practice; 6.9 Visual Diagnostics; 6.10 Dynamic Models; 6.11 Conclusion; APPENDIX 6.1; APPENDIX 6.2; REVIEW QUESTIONS; Chapter 7. Models with Discrete Dependent Variables; 7.1 Introduction; 7.2 The Problem of Estimating Models with Discrete Dependent Variables; 7.3 Alternative Models-Dichotomous Dependent Variables; 7.4 Logit Analysis-Grouped Data.
  table of contents: 7.5 Logit Analysis-Microdata7.6 Probit Analysis; 7.7 An Example; 7.8 Monte Carlo Simulation of Dichotomous Dependent Variables; 7.9 Polytomous Variables/Joint Distributions; 7.10 Conclusions; Chapter 8. Introduction to Multiequation Models; 8.1 Introduction; 8.2 Two Examples of Structural Systems; 8.3 Path Analysis; 8.4 The General Multiequation Model; 8.5 Estimating Hierarchical Models; 8.6 Hierarchical, Nonrecursive Systems; 8.7 Underidentification in Hierarchical Models; 8.8 Nonrecursive Hierarchical Models: Two Examples; 8.9 Conclusion; APPENDIX 8.1; REVIEW QUESTIONS.
  note: Eric A. Hanushek, John E. Jackson.
  note: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
  note: digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL
  note: Includes bibliographical references (pages 367-368) and index.
  note: English.
  subject:
    topic: Estimation theory
  subject:
    topic: Least squares
  subject:
    topic: Social sciences
    topic: Statistical methods
  subject:
    topic: Least-Squares Analysis
  subject:
    topic: Théorie de l'estimation
  subject:
    topic: Moindres carrés
  subject:
    topic: Sciences sociales
    topic: Méthodes statistiques
  subject:
    topic: MATHEMATICS
    topic: Applied
  subject:
    topic: MATHEMATICS
    topic: Probability & Statistics
    topic: General
  subject:
    topic: Estimation theory
  subject:
    topic: Least squares
  subject:
    topic: Social sciences
    topic: Statistical methods
  subject:
    topic: Soziologie
  subject:
    topic: Statistik
  subject:
    topic: Sozialwissenschaften
  subject:
    topic: Statistische methoden
  subject:
    topic: Schattingstheorie
  subject:
    topic: ESTIMATING
  subject:
    topic: STATISTICAL TESTS
  subject:
    topic: LEAST SQUARES METHOD
  subject:
    topic: Estimation theory
  subject:
    topic: Least squares
  subject:
    topic: Social sciences
    topic: Statistical methods
  subject:
    topic: Parameters
    topic: Estimation For social sciences
  classification: QA276.8 .H35
  classification: 519.5/4
  classification: 70.03
  classification: MR 2100
  classification: QH 250
  classification: QH 253
  related item:
    title info:
      title: Statistical methods for social scientists
    name:
      name part: Hanushek, Eric A. (Eric Alan), 1943-
    origin info:
      publisher: New York : Academic Press, ©1977
    identifier: (DLC) 76009158
    identifier: (OCoLC)2493129
  related item:
    title info:
      title: Quantitative studies in social relations
  identifier: 9780080918570
  identifier: 0080918573
  identifier: 1493300598
  identifier: 9781493300594
  identifier: 0123243505
  identifier: 9780123243508
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OCLCE
    record creation date: 100519
    record change date: 20260326174930.7
    record identifier: in00005742886
    language of cataloging:
      language term: eng