Bibliografía

La bibliografía presentada a continuación es una pequeña recopilación de libros o artículos que el Servei d'Estadística Aplicada considera interesantes y útiles para conocer cada una de las técnicas estadísticas.

GENERAL

• Snedecor, G. W. and Cochran, W. G. (1989)
  Statistical Methods - The Iowa State University Press

• Steel, R. and Torrie, J. H. (1976)
  Introduction to Statistics - McGraw-Hill

• Steel, R. and Torrie, J. H. (1985)
  Bioestadística: principios y procedimientos - McGraw-Hill

ANÁLISIS DE LA VARIANCIA

• Box, P., Hunter and W., Hunter, J (1988)
  Estadística para investigadores. Introducción al diseño de experimentos, análisis de datos y construcción de modelos - Barcelona:Editorial Reverté.

• Cochran, W.G. and Cox, G.M. (1957)
  Experimental Designs - second. ed, New York: John Wiley & Sons, Inc.

• Fisher, R.A. (1925)
  Statistical Methods for Research Workers - Edinburgh: Oliver & Boyd.

• Snedecor, G.W. and Cochran, W.G. (1980)
  Statistical Methods - seventh ed, IA: Iowa State University Press.

MODELOS PARA DATOS CATEGÓRICOS

• Agresti, A. (1990)
  Categorical Data Analysis - New York: John Wiley & Sons, Inc.

• Andersen, P.K. and Borgan, O. (2000)
  Statistical Models BAsed on Counting Processes - Springer-Verlag New York, Inc.

• Cox, D.R. and Snell, E.J. (1989)
  The Analysis of Binary Data - second ed, London: Chapman and Hall.

MODELOS DE REGRESIÓN

• Amemiya, T. (1985)
  Advanced Econometrics - Oxford Basil Blackwell

• Draper, N. and Smith, H. (1981)
  Applied Regression Analysis - second ed, New York: John Wiley & Sons, Inc.

• Jobson, J.D. (1991)
  Applied Multivariate Data Analysis (Volume I: Regression and Experimental Design) - Springer-Verlag New York, Inc.

• Rao, C.R. (1973)
  Linear Statistical Inference and Its Applications - second ed, New York: John Wiley & Sons, Inc.

REGRESIÓN LOGÍSTICA

• Agresti, A. (1984)
  Analysis of Ordinal Categorical Data - New York: John Wiley & Sons, Inc.

• Christensen, R. (1990)
  Log-Linear Models - Springer-Verlag New York, Inc.

• Hosmer, D.W, Jr and Lemeshow, S. (1989)
  Applied Logistic Regression - John Wiley & Sons, Inc.

MODELOS LINEALES GENERALIZADOS

• McCullagh, P. and Nelder, J.A. (1989)
  Generalized Linear Models - London: Chapman and Hall.

• Rao, C.R. (1973)
  Linear Statistical Inference and Its Applications - New York: John Wiley & Sons, Inc.

ANÁLISIS MULTIVARIANTE

• Escofier, B. and Pagès, J. (1988)
  Análisis factoriales simples y múltiples: obejtivos, métodos e interpretación - Servicio editorial de la Universidad del País Vasco.

• Greenacre, M.J. (1984)
  Theory and Applications of Correspondence Analysis - London: Academic Press.

• Lebart, L., Morineau, A. and Warwick, K.M. (1984)
  Multivariate Descriptive Statistical Analysis: Correspondence Analysis and Related Techniques for Large Matrices - New York: John Wiley & Sons, Inc.

ANÁLISIS DISCRIMINANTE

• Hand, D.J. (1981)
  Discrimination and Classification - New York: John Wiley & Sons, Inc.

• Lachenbruch, P.A. (1975)
  Discriminant Analysis - New York: Hafner.

ANÁLISIS POR CONGLOMERADOS

• Duran, B.S. and Odell, P.L. (1974)
  Cluster Analysis - New York: Springer-Verlag.

• Everitt, B.S. (1980)
  Cluster Analysis - second ed, London: Heineman Educational Books Ltd.

• Hartigan, J.A. (1975)
  Clustering Algorithms - New York: John Wiley & Sons, Inc.

ANÁLISIS DE SUPERVIVENCIA

• Collet, D. (1994)
  Modelling survival data in medical research - Chapman & Hall.

• Cox, D.R. and Oakes, D. (1984)
  Analysis of Survival Data - London: Chapman and Hall.

• Kalbfleisch, J.D. and Prentice, R.L. (1980)
  The Statistical Analysis of Failure Time Data - New York: John Wiley & Sons, Inc.

• Klein, J. and Moeschberger, M. (1997)
  Survival Analysis: Techniques for censored and truncated data - New York: Springer

• Lawless, J.E. (1982)
  Statistical Models and Methods for Lifetime Data - New York: John Wiley & Sons, Inc.

MOSTREO ESTADÍSTICO

• Kish, L. (1965)
  Survey Sampling - New York: John Wiley & Sons, Inc.

• Wolter, K. M. (1985)
  Introduction to Variance Estimation - New York: Springer-Verlag Inc.

ANÁLISIS NO PARAMÉTRICO

• Conover, W.J. (1980)
  Practical Nonparametric Statistics - second ed, New York: John Wiley & Sons, Inc.

• Hollander, M. and Wolfe, D.A. (1973)
  Nonparametric Statistical Methods - New York: John Wiley & Sons, Inc.

ECUACIONES ESTRUCTURALES

• Bollen, K.A. (1989)
  Structural Equations with Latent Variables - New York: John Wiley & Sons, Inc.

• Wiley, D.E. (1973)
  The Identification Problem for Structural Equation Models with Unmeasured Variables in Goldberger A.S. and Duncan, O.D. eds. Tructural Equation Models in the Social Sciences - New York: Academic Press.

SERIES TEMPORALES

• Fuller, W.A. (1976)
  Introduction to Statistical Time Series - New York: John Wiley & Sons, Inc.

MODELOS MIXTOS

• Hartley, H.O. and Rao, J.N. (1967)
  Maximum-Likelihood Estimation for the Mixed Analysis of Variance Model - Biometrika, 54, pp. 93 -108.

• Littell, R.C., Milliken, G.A., Stroup, W.W., and Wolfinger, R.D. (1996)
  SAS System for Mixed Models - Cary, NC: SAS Institute Inc.

• Verbeke, G. and Molenberghs, G. (1997)
  Linear Mixed Models in Practice: A SAS-Oriented Approach - New York: Springer.

BOOTSTRAP

• Good, P. (2000)
  Permutation Tests: A practical guide to resampling methods for testing hypotheses - Springer Verlag New York, Inc.

DATA MINING

• Hastie, T. and Tibshirani, R. (2001)
  The Elements of Statistical Learning: data mining, inference and prediction - Springer-Verlag New York, Inc.