Daftar Referensi Buku Statistik dan Buku Aplikasi Software Statistik ( SPSS LISREL AMOS PLS SAS STATA SPLUS R )

Berikut adalan sebagian Daftar Buku-Buku Aplikasi Software Statistik ( SPSS LISREL AMOS PLS SAS STATA SPLUS R )

  • Advances in Clinical Trial Biostatistics by Nancy L. Geller
  • Analysis of Incomplete Multivariate Data by Joe Schafer
  • Analysis of Messy Data, Volume III: Analysis of Covariance by George A. Milliken Dallas E. Johnson
  • Analysis of Pretest-Posttest Designs by Peter L. Bonate
  • Applied Nonparametric Statistical Methods, Third Edition by Peter Sprent Nigel Charles Smeeton
  • Applied Statistical Designs for the Researcher by Daryl S Paulson
  • Bayes and Empirical Bayes Methods for Data Analysis, Second Edition by Bradley P Carlin Thomas A Louis
  • Clinical Trials in Oncology, Second Edition by Stephanie Green Jacqueline Benedetti John Crowley
  • Contemporary Statistical Models for the Plant and Soil Sciences by Oliver Schabenberger Francis J Pierce
  • Contingency Table Approach to Nonparametric Testing by A J.C.W. Rayner D.J. Best
  • CRC Standard Probability and Statistics Tables and Formulae by Daniel Zwillinger Stephen Kokoska
  • Data Mining Using SAS Applications by George Fernandez
  • Design and Analysis of Cross-Over Trials, Second Edition by Byron Jones M.G. Kenward
  • EM Algorithm and Related Statistical Models, by The Michiko Watanabe Kazunori Yamaguchi
  • Environmental Statistics with S-PLUS by Steven P. Millard Nagaraj K. Neerchal
  • Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models by Anders Skrondal Sophia Rabe-Hesketh (2 copies)
  • Group Sequential Methods with Applications to Clinical Trials by Christopher Jennison Bruce W. Turnbull
  • Handbook of Parametric and Nonparametric Statistical Procedures, Second Edition by David J Sheskin
  • Handbook of Statistical Analyses Using SAS, Second Edition by Geoff Der Brian S. Everitt
  • Handbook of Statistical Analyses Using SPSS, A Sabine Landau Brian S Everitt
  • Handbook of Statistical Analyses using S-Plus, Second Edition by Brian S. Everitt
  • Handbook of Statistical Analyses Using Stata, Second Edition by Sophia Rabe-Hesketh Brian S. Everitt
  • Hierarchical Modeling and Analysis for Spatial Data by Sudipto Banerjee Bradley P Carlin Alan E Gelfand
  • Introduction to Generalized Linear Models, Second Edition by Annette J. Dobson
  • Measures of Interobserver Agreement by Mohamed M. Shoukri
  • Multidimensional Scaling, Second Edition Trevor F. Cox M.A.A. Cox
  • Sample Size Calculations in Clinical Research by Shein-Chung Chow Jun Shao Hansheng Wang
  • Sampling Methodologies with Applications by Poduri S.R.S. Rao
  • Statistical and Econometric Methods for Transportation Data Analysis by Simon P Washington Matthew G Karlaftis Fred L Mannering
  • Statistics in Drug Research: Methodologies and Recent Developments by SHEIN-CHUNG CHOW JUN SHAO
  • Statistical Methods for Health Sciences, Second Edition by Mohamed M. Shoukri Cheryl A. Pause
  • Statistics in the 21st Century by Adrian E. Raftery Martin A. Tanner Martin T. Wells
  • Theory of the Design of Experiments, The by Sir David R. Cox Nancy Reid
  • Time-Series Forecasting by Chris Chatfield
  • Topics in Modeling of Clustered Data by Marc Aerts Geert Molenberghs Helena Geys Louise Ryan

  • Multilevel Models
    • Multilevel Statistical Models by Harvey Goldstein
    • Handbook of Multilevel Analysis edited by Jan de Leeuw and Erik Meijer
  • R
    • An Introduction to R by William N. Venables, David M. Smith
    • Using R for Data Analysis and Graphics – Introduction, Examples and Commentary by John Maindonald
    • Practical Regression and ANOVA using R by Julian J. Faraway
    • Daalgard,P., 2002, Introductory Statistics with R, Springer Verlag, London
    • Crawley, R.J., 2007, The R Book, Wiley, New York
  • S/S-Plus
    • S Poetry by Patrick J. Burns (1998); a free 439 page book on more advanced S-Plus programming in PDF format
  • SPSS
    • SPSS Programming and Data Management: A Guide for SPSS and SAS Users, Second Edition by Raynald Levesque
  • STATA
    • Statistics with STATA: Version 12, 8th Edition by Lawrence C. Hamilton Publisher: Cengage Learning
    • Microeconometrics Using Stata, Revised Edition Author: Amazon Prime
    • An Introduction to Modern Econometrics Using Stata by Christopher F. Baum. 2006.
    • Microeconometrics Using Stata, The Stata Press, 2009. by A. Colin Cameron and Pravin K. Trivedi.
    • Using Stata for Principles of Econometrics, 3rd edition, John Wiley and Sons, 2008. by Lee C. Adkins and R. Carter Hill.
    • Stata programming written by Stata Corporation. 2003.
    • An introduction to stata for health researchers written by Svend Juul. 2006.
    • A visual guide to stata graphics second edition written by Michael N. Mitchell. 2008.
    • Statistics with stata written by Lawrence Hamilton. 2008.
    • A gentle introduction to stata second edition written by Alan C. Acock. 2008.
  • Other
    • Exploratory Factor Analysis by Ledyard Tucker and Robert MacCallum
    • Resampling: The New Statistics by Julian L. Simon Second Edition
    • SAS Business Intelligence for the Health Care Industry-Practical Applications by Renu Gehring
    • Jeffrey Wooldridge, Introductory Econometrics: A Modern Approach, 4th edition, Southwestern, 2009.
    • Peter Kennedy, A Guide to Econometrics 6th edition, Wiley-Blackwell, 2008.
    • Christopher F. Baum, An Introduction to Modern Econometrics Using Stata, Stata Press, 2006.
    • Marno Verbeek A Guide to Modern Econometrics, Third edition, John Wiley and Sons, 2008.
    • Fomby, Hill, and Johnson, Advanced Econometric Methods, Springer Verlag, 1984. Second Printing, 1988.
    • Judge et al., The Theory and Practice of Econometrics, 2nd Edition, Wiley, 1985
    • Judge et al., Introduction to the Theory and Practice of Econometrics, 2nd Edition, Wiley, 1988.
    • James Stock and Mark Watson, Introduction to Econometrics, 2nd edition, Addison Wesley, 2007. S
    • chmidt, Peter, Econometrics, Marcel Dekker, 1976.
    • William Greene, Econometric Analysis, 6th edition.
    • Hanke, John E. and Arthur G. Reitsch, 1992, “Business Forecasting”, Allyn Bacon Pub. Co
    • Iman, Ronald L. 1989, “Modern Business Statistics”, John Wiley & Sons
    • Tukey, J.W., 1997, Exploratory Data Analysis , Addison Wesley.
    • Grimaldi, R., 1998, Discrete and Combinatorial Mathematics. An Applied Introduction, 4th eds, ISBN 0201199122 , Addison-Wesley Longman
    • Liu, C.L., 1995, Elements of Discrete Mathematics, Mc Graw Hill
    • Jessen, R.J.,1978, Statistical Survey Techniques, John Wiley and Sons 2. Cochran, W.G., 1977, Sampling Techniquees, John Wiley and Sons, Third edition
    • Ross, S.M., 1980, Introduction to Probability Models, Academic Press.
    • Bain, L.J. and Engelhardt, (1992) Introduction to Probabilitas and Mathematical Statistics, Duxbury Press
    • Rice, J. A. (1995) Mathematical Statistics and Data Analysis. Duxbury Press
    • Wackerly, D. D., Mendenhall, W. dan Scheaffer, R. L. (2002) Mathematical Statistics with Applications. Duxbury Press.
    • Montgomery, D. C. 2004. Design and Analysis of Experiments. John Wiley & Sons. New York.
    • Steel, R.G.D., Torrie, J.H. and Dickey, D.A. 1997. Principles and Procedures of Statistics A Biomedical Approach. McGraw-Hill. New York
    • Montgomery, D. C. & Peck, E.A. 2006. Introduction to Linear Regression Analysis. John Wiley & Sons. New York.
    • Myer, R.H. 1997. Classical and Modern Regression with Applications. PWS-KENT. Boston.
    • Drapper, N.R. & Smith H, 1998, Applied Regression Analysis, John Wiley & Sons.
    • Gentle, J.E., 2002, Elements of Computational Statistics, Springer, New York
    • Morgan, B.J. T., 2000, Applied Statistics Modelling, Arnold, London
    • Ewens, W. J. dan Grant, G. R. Statistical Methods in Bioinformatics, An Introduction. Springer-Verlag, New York, 2001
    • Raiffa, H. dan N. Schlafer, 1970, Applied Statistical Decision Theory Division of Research Graduate School of Bussiness, Harvard University
    • Montgomery, D.C., 2002, Introduction to Statistical Quality Control, John Wiley and Sons.
    • Wadsworth, H.M., 2002, Modern Methods for Quality Control and Improvement.
    • Neter, J.W., Kutner, M.H., Nachtsheim, C.J., Wasserman, W., 1996 : Applied Linear Statistical Models, McGraw Hill
    • Jordan, Jr, C.W., 1952, Life Contingencies, The Society of Actuaries.
    • Takashi Futami, Matematika Asuransi Jiwa.
    • Larson, R.E., Gauranitz, E.A., 1951, Life Insurance Mathematics, John Wiley and Sons
    • Brian D. Bunday, An Introduction to Queueing Theory, 1996, Arnold.
    • Averill M. Law and W. David Kelton,, Simulation Modeling and analysis, 1991, McGraw-Hill, Inc.
    • Taylor, H.M., Karlin, S., 1998, Introduction to Stochastic Modeling, Academic Press
    • Ross, S.M., 1996, Stochastic Processes, John Wiley & Sons.
    • Dowd, K. 1998, Beyond Value at Risk, Wiley, Chichester
    • Jorion, P. 2001, Value at Risk, McGraw-Hill, New York
    • Rupert, D., 2004, Statistics and Finance, An Introduction, Springer, New York
    • Holton, G.A., 2003, Value-at-Risk, Theory and Practice, Academic Press, Amsterdam
    • Conover, W.J., 1999, Practical Non-parametric Statistics , John Wiley and Sons.
    • Agresti, A., 2002,. Categorical Data Analysis. John Wiley & Sons. New York.
    • Daniel, W.W. 1987. Biostatistics, a Foundation for Analysis in the Health Sciences. 4th ed. John Wiley & Sons. New York.
    • Fleiss, J.L. 1981. Statistical Methods for Rates and Proportions. John Wiley & Sons. New York.
    • Hosmer, D.W. and Lemeshow, S. 1989. Applied Logistic Regression. John Wiley & Sons. New York.
    • Bowers, dkk, 1997, Actuarial Mathematics, 2nd edition, The Society of Actuaries
    • Grosh, D.L, 1989, A Primer of Reliability Theory, John Wiley & Sons
    • Elsayed A. Elsayed, 1996, Reliability Engineering, Addison Wesley Longman, Inc
    • Higham D.J.,” An Introduction to Financial Option Valuation”, Cambridge University Press, 2004.
    • Mann, N.R, Schafer, R.E dan Singpurwala, N.D, 1974, Methods for Statistical Analysis of reliability and Life data, John Wiley & Sons
    • Wetherill, G.B., 1975, Sequential Methods in Statistics, Edisi 2, Chapman and Hall
    • Le, Chap T. , 2003, Introductory Biostatistics. Wiley
    • Clayton, D. dan Hills, M., 1993, Statistical Models in Epidemiology. Oxford University Press
    • Newman, S. C. , 2001, Biostatistical Methods in Epidemiology. Wiley
    • Judge, G.E., et al., 1982, Introduction to the Theory and Practice of Econometric, John Wiley & Sons
    • Badi H. Baltagi, Econometric analysis of Panel Data, 2001, Wiley
    • Greene, W.H., Econometric Analysis, 4th ed, 2000, Prentice Hall
    • Hsiao, C. H., Analysis of Panel Data, 2nd ed., 2005, Cambridge University Press
    • Blischke, Wallace R; 1994, Warranty Cost Analysis; Marcel Dekker. Inc.
    • Luenberger, D.G., 1998, “Investment Science”, Oxford University Press, New York
    • Bernardo, Jose M, and Smith, Adrian F.M. (2000), Bayesian Theory, John Wiley and Sons.
    • Bolstad, William M (2004), Introduction to Bayesian Statistics, John Wiley and Sons
    • Johnson, R.A, dan Winchern, D.W., 1982, Applied Multivarite Statistical Analysis, John Wiley & Sons.
    • Hardle, W., Simar, L., 2003, Applied Multivariate Statistical Analysis, Springer
    • Han, J. and Kamber, M., 2001, Data Mining: Concepts and Techniques, Academic Press, London
    • Berry, J.A.M. and Linoff, G.S., 2000, Mastering Data Mining, John Wiley and Sons, New York
    • Dasu, T. and Johson. T., 2003, Exploratory Data Mining and Data Cleaning, John Wiley and Sons
    • Wei, W.S., Time Series Analysis : Univariate and Multivariate Methods, Addison-Wesley, 1990
    • Brockwell, P.J. dan Davis, R.A., 1996, Introduction to Time Series and Forecasting, Springer Verlag, Berlin
    • Enders, W., 2004, Apllied Econometric Time Series, Wiley
    • Gourieroux, C., 1997, ARCH Models and Financial Applications, Springer-Verlag.
    • Lee, E.T., Wang, J.W., 2003, Statistical Methods for Survival Data Analysis, 3rd ed., John Wiley & Sons.
    • Cox, D.R., Oakes, D., 1984, Analysis of Survival Data, Chapman & Hall.
    • Allison, P.D., 1982. Event History Analysis, Sage 4. Yamaguchi, K., 1991, Event History Analysis, Sage Publications, Inc.
    • Structural Equation Modeling With AMOS, Basic Concepts, Applications, and Programming, Second Edition. By Barbara M. Byrne
  • Structural Equation Modeling
    • Structural Equation Modeling With AMOS, Basic Concepts, Applications, and Programming, Second Edition. By Barbara M. Byrne. Published 28th July 2009 by Routledge.
    • Structural Equation Modeling with Mplus, Basic Concepts, Applications, and Programming By Barbara M. Byrne. Published 28th July 2011 by Routledge.
    • A Beginner’s Guide to Structural Equation Modeling. Third Edition. By Randall E. Schumacker, Richard G. Lomax. Published 20th April 2010 by Routledge.
    • A First Course in Structural Equation Modeling. 2nd Edition. By Tenko Raykov, George A. Marcoulides. Published 21st March 2006 by Psychology Press.
    • Structural Equation Modeling With EQS. Basic Concepts, Applications, and Programming, Second Edition. By Barbara M. Byrne. Published 17th February 2006 by Routledge.
    • Structural Equation Modeling With Lisrel, Prelis, and Simplis. Basic Concepts, Applications, and Programming. By Barbara M. Byrne. Published 1st March 1998 by Psychology Press

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