Bibliografia

La bibliografia presentada a continuació és un petit recull de llibres o articles que el Servei d'Estadística Aplicada considera interessants i útils per tal de conèixer cadascuna de les tècniques estadístiques.


  • 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

 

  • ANÀLISI DE LA VARIÀNCIA

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.

 

  • MODELS PER A DADES CATEGÒRIQUES

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.

 

  • MODELS DE REGRESSIÓ

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.

 

  • REGRESSIÓ 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.

 

  • MODELS LINEALS GENERALITZATS

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.

 

  • ANÀLISI MULTIVARIANT

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.

 

  • ANÀLISI DISCRIMINANT

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

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

 

  • ANÀLISI PER CONGLOMERATS

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.

 

  • ANÀLISI DE SUPERVIVÈNCIA

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.

 

  • MOSTREIG ESTADÍSTIC

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

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

 

  • ANÀLISI NO PARAMÈTRIC

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.

 

  • EQUACIONS ESTRUCTURALS

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.

 

  • SÈRIES TEMPORALS

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

 

  • MODELS MIXTES

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.

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