Books on Statistical Data Analysis and related subjects

Afifi A., and S. Azen, Statistical Analysis: A Computer Oriented Approach, Acad. Press, New York, 1979.

Afifi A., and V. Clark, Computer-Aided Multivariate Analysis, CRC Press, 1996.

Agresti A., An Introduction to Categorical Data Analysis, Wiley, 1996.

Aitchison J., The Statistical Analysis of Compositional Data, Chapman and Hall, 1987.

Aitchison J., Statistical Concepts and Applications in Medicine, Chapman and Hall, 1997.

Aitchison J., Statistical Prediction Analysis, Chapman and Hall, 1975.

Aitchison J., and Dunsmore, I., Statistical Prediction Analysis, Cambridge University Press, 1975.

Albert A., and L. Gardner Jr., Stochastic Approximation and Nonlinear Regression, The MIT Press, 1967.

Alder H., and E. Roessler, Introduction to Probability and Statistics, Freeman, 1962.

Allen M., Understanding Regression Analysis, New York, Plenum Press, 1997.

Alreck P., and R. Settle, The Survey Research Handbook: Guidelines and Strategies for Conducting a Survey, Irwin Professional Publishing, 1995. A very practical reference with a lot of emphasis on planning.

Altiok T., Performance Analysis of Manufacturing Systems, Springer, New York, 1997.

Altman D, Practical Statistics for Medical Research, CRC Press, 1991.

Andersen E., Introduction to the Statistical Analysis of Categorical Data, Springer, 1997.

Anderson O., Time Series Analysis and Forecasting:The Box-Jenkins Approach, Butterworths, London, 1976.

Anderson T., The Statistical Analysis of Time Series, Wiley, New York, 1994.

Anderson T., and J. Finn, The New Statistical Analysis of Data, Springer, New York, 1996.

Anderson W., Continuous-time Markov Chains: An Applications-Oriented Approach, Springer, New York, 1991.

Anderson P., Borgan O., Gill R. and N. Keiding, Statistical Models Based on Counting Processes, Springer, New York, 1993.

Anscombe F., Computing in Statistical Science through APL, Springer Verlag, Berlin, 1981.

Antoch J. (Editor), Computational Aspects of Model Choice, Springer Verlag, 1992.

Arlinghaus S. (Ed.), Practical Handbook of Spatial Statistics, CRC, New York, 1996.

Arlinghaus S. (ed.), Practical Handbook of Curve Fitting, CRC Press, 1994.

Arnold B., Nagaraja H., and N. Balakrishnan, A First Course in Order Statistics, Wiley, 1992.

Artemis Systems, Inc., PC-ISP: Interactive Scientific Processor, User's Guide and Command Description, Chapman and Hall, 1986.

Ary D., L. Jacobs, and A. Razavieh, Introduction to Research in Education, New York, Holt, Rinehart and Winston, 1990.

Ascher H., and Feingold H., Repairable Systems Reliability, Deller, 1984.

Atkinson A. Plots, Transformations, and Regression, Clarendon Press, 1985.

Avery T., and H. Burkhart, Forest Measurements, McGraw-Hill, 1994.

Ayyub B, (Editor), Uncertainty Modeling and Analysis in Civil Engineering, CRC Press, 1997.

Ayyub B, and R. McCuen, Probability, Statistics, and Reliability for Engineers, CRC Press, 1996.

Azzalini A., Statistical Inference Based on the likelihood, Chapman & Hall, London, 1996.

Bailar J., and F. Mosteller, Medical Uses of Statistics, New England Journal of Medicine Books, 1992.


Bancroft T., Topics in Intermediate Statistical Methods, Iowa State Univ., Vol 1., 1986.


Balakrishnan N., and C. Clifford, Order Statistics and Inference: Estimation Methods, Academic Press, 1991.


Balderjahn I., R. Mathar, and M. Schader, (Editors), Classification, Data Analysis and Data Highways, Springer, 1998.


Barlow R., Engineering Reliability, ASA-SIAM, 1998.


Barlow R., D. Barthomomew, J. Bremner, and and H. Brunk, Statistical Inference under Order Restrictions, Wiley, 1972.


Barlow R., N. Mensing, and R. Smiriga, Using influence diagrams to solve a calibration problem, In Probability and Bayesian Statistics, Plenum Press, 1987.


Barlow R., and F. Proschan, Statistical Theory of Reliability and Life Testing-Probability Models, Holt, Rhinchart and Winston, 1975.


Barlow R., and F. Proschan, Mathematical Theory of Reliability, SIAM, 1996.


Barnett V., Sampling Survey: Principles & Methods, Wiley, New York, 1995.


Barnett V., Sample Survey Principles and Methods, Arnold, 1991.


Barnett V., and T. Lewis, Outliers in Statistical Data, Wiley, New York, 1994.


Barndorff-Nielsen O., and D. Cox, Statistical Methods for SPC and TQM, CRC Press, 1993.


Bartlett M., An Introduction to Stochastic Processes, Cambridge, 1961.


Batschelet E., Circular Statistics in Biology. Academic Press, 1981.


Bechhofer R., T. Santner, and D. Goldsman, The Design and Analysis of Experiments for Ranking and Selection, Wiley, 1995.


Belsley, Kuh and Welsch, Regression Diagnostics, Identifying Influential Data and Sources of Collinearity, Wiley, New York.


Bendat J., and A. Piersol, Measurement And Analysis of Random Data, John Wiley & Sons, 1966.


Berger J., Statistical Decision Theory and Bayesian Analysis, Springer, 1978.


Betha R.M. and R.R. Rhinehart, Applied Engineering Statistics, Statistics: Textbooks and Monographs Series, 121, Marcel Dekker, Inc., 1991.


Bickel P., and K. Doksum, Mathematical Statistics: Basic Ideas and Selected Topics, Holden-Day Inc., San Francisco, 1977.


Birkes D., and Y. Dodge, Alternative Methods of Regression, Wiley, New York, 1993.


Bock R., and W. Krischer, The Data Analysis Brief Book, Springer, 1998.


Bohrnstedt G., and D. Knoke, Statistics for Social Data Analysis, F. E. Peacock Pub., Itasca, IL, 1988.


Bolton S., Pharmaceutical Statistics: Practice and Clinical Applications, Marcel Dekker 1998.


Bowman A, and A. Azzalini, Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations, Oxford University Press, London, 1997.


Bowerman B., and R. O'Connell, Computer Modeling for Business and Industry, Marcel Dekker, 1984.

Bowerman B., and R. O'Connell, Forecasting and Time Series: An Applied Approach, Duxbury Press, 1983.

Bowerman and O'Connell, Linear Statistical Models: An Applied Approach, PWS Kent, 1985. Good on theory and practical. Covers simple and multiple linear regression, diagnostics, assumptions etc. Also covers ANOVA, from a regression point-of-view. Many examples use SAS software to generate the output.

Box G., G. Jenkins, and G. Reinsel, Time Series Analysis: Forecasting and Control, 3rd Ed., Holden-Day, 1994.

Box G., W. Hunter, and J. Hunter, Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building, John Wiley & Sons, Inc., New York, NY, 1978.

Box G., and Tiao, Bayesian Inference in Statistical Analysis, Wiley, New York, 1992.

Bozdogan H., and A. Gupta, Multivariate Statistical Modeling and Data Analysis, D. Reidel Pub Co., 1987.

Brandt S., G. Cowan, Data Analysis: Statistical and Computational Methods for Scientists and Engineers, Springer Verlag, 1998.

Breiman, Friedman, Olshen, and Stone, Classification and Regression Trees, Chapman & Hall, 1984.

Brockwell P., and R. Davis, A First Course in Time Series Analysis, Springer-Verlag, 1996.

Brockwell P., and R. Davis, An Introduction to Time Series and Forecasting, Springer, New York, 1996.

Bruning J., and B. Kintz, Computational Handbook of Statistics, Addison-Wesley Pub. Co., 1996.

Bryk A.S. and S.w. Rauenbush, Hierarchical Linear Models, Sage, 1992..

Buckley J., Large Deviation Techniques in Decision, Simulation, and Estimation, John Wiely, 1990.

Bunday B., Statistical Methods in Reliability Theory and Practice, New York, E. Horwood, 1991.

Burr I.W., Statistical Quality Control Methods, Marcel Dekker Inc., 1976.

Campbell J., A. Lo and C. MacKinley, Econometrics of Financial Markets, Princeton, 1996

Carlin B., and T. Louis, Bayes and Empirical Bayes Methods for Data Analysis, Chapman & Hall, 1996.

Carroll R. and D. Ruppert, (1988), Transformation and Weighting in Regression, London, Chapman and Hall.

Cassel C., C. Sarndal, and J. Wretman, Foundations of Inference in Survey Sampling, New York, John Wiley & Sons, 1977.

Causton D., An introduction to Vegetation Analysis, Unwin Hyman, London, 1988.

Chambers J., Computational Methods for Data Analysis, Wiley & Sons, New York, 1977.

Chambers J., Cleveland, B. Kleiner, and P. Tukey, Graphical Methods for Data Analysis, Duxbury Press, Boston, 1983.

Chapman D., and R. Schaufele, Elementary Probability Models and Statistical Inference, Ginn, 1970.

Charles R., Fundamental Concepts in the Design of Experiments, Oxford University Press, 1993.

Chatfield C., The Analysis of Time Series, Chapman and Hall, 1996.

Chatterjee S., M. Handcock and J. Simonoff, A Casebook for a first course in statistics and data analysis, Wiley.

Chatterjee S., and and B. Price, Regression Analysis by Example, 1991, A very good applied book on regression. Covers computer-based multiple regression.

Cherkassky V, and F. Mulier, Learning from Data: Concepts, Theory, and Methods, John Wiley & Sons, 1998.

Chow S-C., and J.P. Liu, Statistical Design and Analysis in Pharmaceutical Sciences: Validation, Process Control, and Stability, Marcel Dekker 1998.

Christensen R., Linear Models for Multivariate, Time Series and Spatial Data, Springer, 1991.

Cleveland W., Visualizing Data, Hobart Pr., 1993.

Cleveland W., The Elements of Graphing Data, CRC Pr., 1994.

Cliff N., Analyzing Multivariate Data, Harcourt Brace Jovanovich, 1987.

Cobb G., Introduction to Design and Analysis of Experiments, Springer, 1998.

Cochran W. and G. Cox, Experimental Design, Wiley & Sons, 1957.

Collett D., Modelling Survival Data in Medical Research, CRC Press, 1994.

Collwtt D., Modeling Binary Data, Chapman and Hall, 1991.

Conover W., Practical Nonparameteric Statistics, Wiley, 1980.

Converse J. and S. Presser, Survey Questions: Handcrafting the Standardized Questionnaire, Sage, 1986.

Cook R., and S. Weisberg, An Introduction to Regression Graphics, Wiley, New York, 1994.

Cooke D., A. Craven, and G. Clarke, Basic Statistical Computing, Wiley, 1990.

Cooper H. and L. Hedges, Handbook of Research Synthesis, Russel Sage Foundation, New York, 1994.

Cormen T., Introduction to Algorithms, McGraw-Hill, 1994.

Cox D., and Snell, Analysis of Binary Data, Chapman Hall, London, 1989. Cowan G., Statistical Data Analysis, Oxford University Press, 1998.

Cox D., and N. Wermuth, Multivariate Dependencies; Models, Analysis, and Interpretation, CRC Press, 1996.

Cox B., D. Binder, B. Chinnappa, A. Christianson, M. Colledge, and P. Kott, (Editors), Business Survey Methods, Wiley, 1995.

Cramer H., Mathematical Methods of Statistics, Princeton University Press, 1966.

Cressie N., Statistics for Spatial Data, Wiley, New York, 1993.

Cryer J., Statistics for Business Data Analysis, Kent Publishers, 1991.

Cryer J., Time Series Analysis, Duxbury Press, 1995.

Curnow R., R. Mead, and A.M. Hasted, Statistical Methods in Agriculture and Experimental, CRC Press, 1992.

Czitrom V., and P. Spagon, (Editors), Statistical Case Studies for Industrial Process Improvement, ASA-SIAM, 1997.

Dagnelie P., Statistique théorique et appliquée, Tome 1 & 2, Paris et Bruxelles, De Boeck & Larcier, 1998.

D'Agostino R., and M. Stephens (eds) Goodness-of-fit Techniques. New York. Marcel Dekker, Inc., (1988).

Daly R., Atmospheric Data Analysis, Cambridge University Press, 1991.

Daniel C., and F. Wood, Fitting Equations to Data, Wiley & Sons, New York, 1981.

Daniel W., Applied Nonparametric Statistics, PWS-Kent, 1990.

David, H.Order Statistics, Wiley 1993.

Davidian M., and D. Giltinan, Nonlinear Mixed Effects Models for Repeated Measurement Data, Chapman and Hall, 1995.

Davis J., Statistics and Data Analysis in Geology, Wiley & Sons, 1973.

Davis W., and H. DeGroot, A new look at Bayesian prediction and calibration, Statistical Decision Theory and Related Topics III, Academic Press, 1982.

Davison A., and D. Hinkley, Bootstrap Methods and their Application, Cambridge University Press, London, 1997.

Dawson (-Saunders) B., and R. Trapp, Biostatistics, 2nd ed., Norwalk CT, Appleton & Lange, 1994.

DeGroot M., Probability and Statistics, Addison-Wesley, 1986.

DeLurgio S., Forecasting Principles and Applications, Irwin, McGrow-Hill, 1998.

Dembo A., and O. Zeitouni, Large Deviations Techniques and Applications, Springer, 1998.

Devore J., Statistics Exploration & Analysis of Data, West Educational Publishing, 1986.

Diamond J., Practical Experiment Designs, Van Nostrand Reinhold, New York, 1989.

Diday E., Y. Lechevallier, and O. Opitz, (Editors), Ordinal and Symbolic Data Analysis, Springer, 1996.

Dielman T., Pooled Cross-sectional and Time Series Data Analysis, Marcel Dekker, 1988.

Digby P., and R. Kempton, Population and Community Biology Series: Multivariate Analysis of Ecological Communities, Chapman and Hall, London, 1987.

Diggle P., Time Series, Oxford: Clarendon Press, 1990.

Diggle P., Spatial Point Processes, Academic Press, 1983.

Diggle P., K. Liang, and S. Zeger, Analysis of Longitudinal Data, Oxford University Press, 1994.

Dilorio F., and K. Hardy, Quick Start to Data Analysis with SAS, Duxbury Press, 1996

Dirschedl P., and R. Ostermann, (eds.), Computational Statistics, Heidelberg, Physica-Verlag, 1994.

Dixon W., BMDP Statistical Software, Univ. of Calif. Press, Berkeley, 1985.

Dixon W., and F. Massey, Introduction to Statistical Analysis, McGraw Hill, 1969.

Dobson, An Introduction to Generalized Linear Models, Chapman & Hall, London, 1990.

Donnelly C., and N. Ferguson, Statistical Aspects of BSE: Models for an Epidemic, CRC Press, 1998.

Drain D., Handbook of Experimental Methods for Process Improvement, Chapman & Hall, 1997.

Draper N., and H. Smith, Applied Regression Analysis, Wiley, 1998, Great book on applied regression with
some theoretical components.

Dryden I., and K. Mardia, Statistical Shape Analysis, Wiley, 1998.

Dunn G., Design and Analysis of Reliability Studies: The Statistical Evaluation of Measurement Errors, Arnold, 1989.

DuToit S., A. Steyn, and R. Stumpf, Graphical Exploratory Data Analysis, Springer, 1986.

Edwards A., Statistical Analysis for Students in Psychology and Education, Rinehart & So., 1956.

Edwards A., Likelihood, The Johns Hopkins University Press, Baltimore, MD, 1992.

Edwards A., Multiple Regression and the Analysis of Variance and Covariance, Freeman and Co., New York, 1985.

Efron B., The Jackknife, The Bootstrap and Other Resampling Plans, SIAM, Philadelphia, 1982.

Efron B., and R. Tibshirani, An Introduction to the Bootstrap, Chapman & Hall, 1994.

Embrechts P., C. Kluppelberg, and T. Mikosch Modeling Extremal Events: For Insurance and Finance, Springer, New York, 1997.

Enders W., Applied Econometrics Time Series, Wiley, 1995.

Engle R., ARCH - Selected Readings: Advanced Texts In Econometrics, Oxford University Press, 1994.

Enslein K., A. Ralston and H. Wilf, Statistical Methods for Digital Computers, Wiley & Sons, New York, 1977.

Eurostat, New Techniques and Technologies for Statistics, IOS Press, Netherlands, 1997.

Evans M., N. Hastings, and B. Peacock, Statistical Distributions, Wiley, 1993.

Everitt B., Cluster Analysis, Arnold, 1993.

Everitt B., A Handbook of Statistical Analyses Using Stata, CRC Press, 1996.

Everitt B., A Handbook of Statistical Analyses Using S-Plus, CRC Press, 1994.

Everitt B., Introduction to Optimization Methods and their Application in Statistics, Chapman and Hall, 1987.

Everitt B., and G. Der, A Handbook of Statistical Analyses Using SAS, CRC Press, 1996.

Everitt B., and G. Dunn, Applied Multivariate Data Analysis, John Wiley & Sons, 1996.

Everitt B, and S. Rabe-Hesketh, The Analysis of Proximity Data, Arnold, 1997.

Everitt B., and S. Rabe-Hesketh, Handbook of Statistical Analyses: Using Stata, CRC Press, 1999.
Eykhoff P., System Identification: Parameter and State Estimation, John Wiley & Sons, 1974.

Fahrmeir L., and G. Tutz, Multivariate Statistical Modelling Based on Generalized Linear Models, Springer, 1996.

Fang K., Generalized Multivariate Analysis, Springer Verlag Inc, 1990.

Fischer M, and A. Getis (Editors), Recent Developments in Spatial Analysis: Spatial Statistics, Behavioural
Modelling, and Computational Intelligence, Springer Verlag, 1997.

Fisher N., Statistical Analysis of Circular Data. Cambridge University Press, 1993.

Fleiss J., Statistical Methods for Rates and Proportions, Wiley, New York, 1981.

Fowler, F.,Jr., Survey Research Methods, Sage Pub., CA, 1988.

Fox J., Applied Regression Analysis, Linear Models, and Related Methods, Sage, 1997.

Francis I. (Editor), A Comparative Review of Statistical Software, North Holland, New York, 1981.

Fraser D., The Structure of Inference, Wiley & Sons, 1968.

Fraser I., Probability and Statistics: Theory Applications, Duxbury Press, 1976.

Freeman D., Applied Categorical Data Analysis, Marcel Dekker, 1987.

Freiberger W., and U. Grenander, A Short Course in Computational Probability and Statistics, Springer Verlag, Berlin, 1977.

Freund J., Mathematical Statistics, Prentice-Hall, 1962.

Freund R., Regression Methods a Tool for Data Analysis, Marcel Dekker Inc, 1979.

Fuchs C., and R. Kenett, Multivariate Quality Control Theory and Applications, Marcel Dekker, 1998.

Fukunaga K., Introduction to Statistical Pattern Recognition, Academic Press, San Diego, CA, 1990.

Fuller W., Introduction to Statistical Time Series, John Wiley & Sons, New York, 1996.

Gilbert N., Analyzing Tabular Data: Loglinear and logistic Models for Social Researchers, UCL Press, London, 1993. Contains a good discussion of log-likelihood ratio, among others.

Gilks L., W. Richardson, and D. Spiegelhalter, Practical Markov Chain Monte Carlo, Chapman and Hall.

Gall M., W. Borg, and J. Gall, Educational Research: An Introduction, New York, Longman, 1996.

Gauch H. Jr., Multivariate Analysis and Community Structure, Cambridge University Press, 1982.

GAUSS, The GAUSS System Version for the IBM PC/XT, System and Graphics Manual, 1988.

Gelman A., J. Carlin, H. Stern, and D. Rubin, Bayesian Data Analysis, Chapman & Hall, 1995.

Ghislain de Marsily, Quantitative Hydrogeology, Academic Press, 1986.

Ghosh, Subir, Asymptotics, Nonparametrics and Time Series, Marcel Dekker, 1998.

Ghosh M., N. Mukhopadhyay, and P. Sen, Sequential Estimation, Wiley, New York, 1997.

Gifi A., Nonlinear Multivariate Analysis, Wiley, Chichester, 1990.

Glenberg A., Learning from Data: An Introduction to Statistical Reasoning, Lawrence Erlbaum Associates Publishers, 1996.

Gnanadesikan R., Methods for Statistical Data Analysis of Multivariate Observations, Wiley, New York, 1997.

Greenacre M, Theory and Applications of Correspondence Analysis, Academic Press, 1984.

Greenacre M., (Editor), Correspondence Analysis in the Social Sciences: Recent Developments and Applications, Academic Press, 1994.

Griffiths P., and I. Hill (Editors), Applied Statistics Algorithms, Ellis Horwood Ltd, Chichester, Uk.

Grigoriu M., Applied Non-Gaussian Process, Prentice-Hall, 1995.

Guttmann I., Statistical Tolerance Regions: Classical and Bayesian, Griffin, 1970.

Guttmann S., J. Wilks, and I. Hunter, Introductory Engineering Statistics, Wiley & Sons, 1982.

Guttorp P., Stochastic Modeling of Scientific Data, CRC Press, 1995.

Hahn G., and W. Meeker, Statistical Intervals: A Guide for Practitioners, John Wiley, 1995.

Hahn G., and S. Shapiro, Statistical Models in Engineering, Wiley, New York, 1967.

Hair J., Multivariate Data Analysis, Prentice Hall, 1998.

Hair J. , R. Anderson, R. Tathan, and W. Black, Multivariate Data Analysis, Englewood Cliffs, NJ: Prentice Hall, 1995.

Hall P., The Bootstrap and Edgeworth Expansion, Springer, New York, 1995.

Hamilton J., Time Series Analysis, Princeton University Press, 1994.

Hamming R., Methods of Mathematics Applied to Calculus, Probability, and Statistics, Prentice-Hall, New York, 1985.

Hampel F., Rouseeuw P., J. Ronchetti, and W. Stahel, Robust Statistics: The Approach Based on Influence Functions, Wiley, 1986.

Hand D., Construction and Assessment of Classification Rules, John Wiley and Sons, 1997.

Hand D., and M. Crowder, Practical Longitudinal Data Analysis, Chapman & Hall, 1996.

Hand D., F. Daly, A. Lunn, K. McConway, and E. Ostrowski (eds.) A Handbook of Small Data Sets, Chapman & Hall, 1994.

Hand D., and C. Taylor, Multivariate Analysis of Variance and Repeated Measures: A Practical Approach for Behavioural Scientists, CRC PRESS, 1987.

Hanson K., and R. Silver, (eds.), Maximum Entropy and Bayesian Methods, Kluwer Academic, Dordrecht, 1996.

Hardle W., S. Klinke, and B. Turlach, Xplore: An Interactive Statistical Computing Environment, Springer, Berlin, 1995.

Hart J., Nonparametric Smoothing and Lack-of-fit Tests, Springer, New York, 1997.

Harter H., and N. Balakrishnan, Tables for the Use of Range and Studentized Range in Tests of Hypotheses, CRC Press, 1998.

Harris J., and H. Stocker , Handbook of Mathematics and Computational Science, Springer Verlag, 1998.

Hastie T., and R. Tibshirani Generalized Additive Models, Chapman & Hall, London, 1989.

Hawkins D., Identification of Outliers, Chapman and Hall, 1980.

Hayduk L., Structural Equation Modeling with LISREL: Essentials and Advances, Johns Hopkins University Press, 1987.

Hedayat A., and B. Sinha, Design and Inference in Finite Populations Sampling, New York, Wiley, 1991.

Heiberger R., Computation Aspects of the Analysis of Designed Experiments, Wiley, 1989.

Hettmansperger T., and J. McKean, Robust Nonparametric Statistical Methods, Arnold, 1998.

Heyde C., Quasi-Likelihood and Its Application, Springer, New York, 1997.

Hill A., and I. Hill, Bradford-Hill's Principles of Medical Statistics, Edward Arnold, London, 1991.

Hill R., Griffiths W., and G. Judge, Undergraduate Econometrics, Wiley, 1997.

Hinkelmann K., and O. Kempthorne, Design and Analysis of Experiments, Wiley, 1994.

Hintze J., SOLO Statistical System, Version 100, User's Guide, Statistical Software Ltd., Cork Technology Park, Model Farm Road, Cork, Ireland, 1987.

Hoaglin, Mosteller, and Tukey (eds.), Exploring Data Tables, Trends, and Shapes, Wiley, New York, 1985.

Hoaglin D., and J. Tukey (Eds.) , Exploring Data Tables, Trends, And Shapes, Wiley, 1985.

Hoaglin D., and J. Tukey (Eds.) , Understanding Robust and Exploratory Data Analysis, John Wiley & Sons, 1982, Includes the slash distribution applications by Rosenberger and Gasko-Donoho. The setting of their chapter is to compare estimators at a number of different sampling situations that are Gaussian "in the middle" but include tails that are heavier than Gaussian.
 

Hochberg Y., and A. Tamhane, Multiple Comparison Procedures, Wiley, 1987.

Hogg R., and A. Craig, Introduction to Mathematical Statistics, Prentice-Hall, Inc., Englewood Cliffs, NJ, 1995.

Hogg R., and E. Tanis, Probability and Statistical Inference, Macmillan, 1977.

Hollander M., and D. Wolfe, Nonparametric Statistical Methods, Wiley, 1999.

Hosking J., Regional Frequency Analysis: An Approach Base on L-Moments, Cambridge University Press, 1997.

Hosmer D., and S. Lemeshow, Applied Logistic Regression, Wiley, New York, 1989. It is an excellent reference and they do discuss discriminate function analysis.

Howell D., Statistical Methods for Psychology, Belmont, CA, Duxbury, 1997. Contains a good discussion on
Ryan-Einot-Gabriel-Welsch Multiple F test as an extension of the Newman-Keuls test which is design to control the familywise error rate for each set of r ordered means. This modified test will have greater power than Tukey's, without making the sacrifices to familywise error rates that the Newman-Keuls does, on PP. 378-379.

Hox J., Applied Multilevel Analysis, Amsterdam, TT-Publikaties, 1995.

Huber P., Robust Statistics, Wiley & Sons, 1981.

Huber P., Robust Statistical Procedures, SIAM, 1996.

Huber P., and D. Donoho, PC-ISP Interactive Scientific Processor, User's Guide and Command Descriptions, Chapman and Hall Software, 1986.

Isaaks, and Srivastava, An Introduction to Applied Geostatistics, Oxford Un. Press, 1989.
ISO 2859, Sampling Procedures and Tables for Inspection by Attributes, International Organization for Standardization, 1974.

ISO 3951, Sampling Procedures and Charts for Inspection by Variables for Percent Defective, International Organization for Standardization, 1976.

ISP-92, PC-ISP, Interactive Scientific Processor, User's Guide and Command Descriptions, 1992.

Jackson J., A User's Guide to Principal Components, John Wiley & Sons, Inc., New York, NY, 1991.

Jacoby W., Statistical Graphics for Visualizing Multivariate Data, Sage Pub., 1998.

Jaehne B., Practical Handbook on Image Processing for Scientific Applications, CRC Press, 1995.

Jambu M., Exploratory and Multivariate Data Analysis, Acad. Press, 1991.

Janacek G., and L. Swift, Time Series: Forecasting, Simulation, Applications, New York, E. Horwood, 1993.

Jobson J., Applied Multivariare Data Analysis, Volumes I, and II, Springer, New York, 1991, 1992, New York.

Johansen S., Likelihood-Based Inference in Cointegrated Vector Autoregressive Models, Oxford University Press, 1995.

Johnson D., Applied Multivariate Methods for Data Analysts, Duxbury Press, 1998.

Johnson M., Multivariate Statistical Simulation, John Wiley & Sons, 1987.

Johnson N., and S. Kotz, Continuous Univariate Distributions Vol 1 & 2, Wiley, 1970.

Johnson N., Kotz S., and N. Balakrishnan, Discrete Multivariate Distributions, Wiely, NY, 1997.

Johnson R., and D. Wichern, Applied Multivariate Statistical Analysis, Prentice Hall, 1998

Jongman R., C. ter Braak, and O. van Tongeren (Editors), Data Analysis in Community and Landscape

Ecology, Cambridge University Press, 1995.

Jordan M., (ed.), Learning in Graphical Models, MIT Press, 1989.

Journel A., and C. Huijbregts, Mining Geostatistics, Acad. Press, 1978.

Judd C., and G. McClelland, Data Analysis: A Model-Comparison Approach, Harcourt Brace Jovanovich, CA, 1989

Judge G., The Theory and Practice of Econometrics, Wiley,1985.

Kachigan S., Multivariate Statistical Analysis, Radius Press, 1991.

Kalbfleish J., and Prentice, Statistical Analysis of Failure Time Data, John Wiley, 1980.

Kanji G., 100 Statistical Tests, Sage Publisher, 1995.

Kapur J., Maximum Entropy Models in Science and Engineering, John Wiley & Sons, Inc., New York, 1989.

Kass R., and P. Vos, Geometrical Foundations of Asymptotic Inference, Wiley, New York, 1997.

Kaufman L. and P. Rousseeuw, Finding Groups in Data, Wiley & Sons, 1990.

Kendall M., and J. Gibbons, Rank Correlation Methods, Arnold, 1990.

Kendall M., and A. Stuart, Advanced Theory of Statistics, 1, Griffin, 1963.

Kenett R., and E. Baker, Software Process Quality Management and Control, Marcel Dekker, 1998.

Kenett R., and S. Zacks, Modern Industrial Statistics: Design and Control of Quality and Reliability, Duxbury Press, 1998.

Kennedy P., A Guide to Econometrics, MIT Press, 1998.

Kennedy Jr. W., and J. Gentle, Statistical Computing, Marcel Dekker, Inc., New York, 1980.

Kent M., and P. Coker, Vegetation Description and Analysis: A Practical Approach, Belhaven Press, London, 1992.

Keppel G., Design and Analysis: A Researcher's Handbook, Englewood Cliffs, N.J. Prentice-Hall, 1991.

King M., and D. Giles (ed.), Specification Analysis in the Linear Model, London, Routledge & Kegan Paul, 1987.

Kirkwood B., Essentials of Medical Statistics, Blackwell Scientific Publications, 1988.

Kitanidis P., Introduction to Geostatistics. Applications in Hydrogeology, Cambridge University Press, 1997.

Klain D., and G-C. Rota, Introduction to Geometric Probability, Cambridge University Press, 1997.

Kleinbaum D., Logistic Regression: A Self-learning Text, Springer-Verlag, 1994. A good beginners book that has a lot of examples worked out step by step.

Klinke S., Data Structures for Computational Statistics, Springer, Heidelberg, 1997.

Koch G., and R. Link, Statistical Analysis of Geological Data, Wiley & Sons, 1970-71.

Kokoska S., and Ch. Nevison, Statistical Tables and Formulae, Springer, 1989.

Kolassa J., Series Approximation Methods in Statistics, Springer Verlag, 1997.

Komorowski J., and J. Zytkow, (Editors), Principles of Data Mining and Knowledge Discovery, Lecture Notes in Artificial Intelligence, 1263, Springer, 1997.

Kotz S., and N. Johnson, Encyclopedia of Statistical Sciences, 9 volumes and supplement, Wiley, New York, 1982-1988.

Kovalenko I., N. Kuznetsov, and V. Shurenkov, Models of Random Processes: A Handbook for
Mathematicians and Engineers, CRC Press, 1996.

Krauth J., Distribution-Free Statistics: An Application-Oriented Approach, Elsevier, Amsterdam, 1988.

Krzanowski W., Principles of Multivariate Analysis, Clarendon Press, Oxford , 1988.

Krzanowski W., and F. Marriott, Multivariate Analysis: Part 1: Distributions, Ordination and Inference,

Krzanowski W., and F. Marriott, Multivariate Analysis: Part 2: Classification, Covariance Structures and
Repeated Measurements, Arnold, 1995.

Kurz L., and H. M. Benteftifa, Analysis of Variance in Statistical Image Processing, Cambridge University Press, 1997.

Laird Ph., Learning from Good and Bad Data, Kluwer Academic Pub., 1988.

Lapin L., Statistics for Modern Business Decisions, Harcourt Brace Jovanovich, 1987.

Lauritzen S., Graphical Models, Oxford University Press, 1996.

Lawler G., Introduction to Stochastic Processes, Chapman & Hill, 1995.

Le C., Applied Survival Analysis, Wiley, New York, 1997.

Lee P., Bayesian Statistics: An Introduction, Wiley, New York, 1997.

Lehmann E., Testing Statistical Hypotheses, Springer, New York, 1997.

Lehmann E., Theory of Point Estimation, Springer, New York, 1997.

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