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StatisticsSTATISTICSStatistics: General* Brook, Richard J., et al., eds. The Fascination of Statistics New York, NY: Marcel Dekker, 1986.Campbell, Stephen K. Flaws and Fallacies in Statistical Thinking Englewood Cliffs, NJ: Prentice Hall, 1973. * DeGroot, Morris H.; Fienberg, Stephen E.; and Kadane, Joseph B., eds. Statistics and the Law New York, NY: John Wiley, 1986. ** Deming, W. Edwards. Out of The Crisis Cambridge, MA: MIT Press, 1986. * Finkelstein, Michael O. and Levin, Bruce. Statistics for Lawyers New York, NY: Springer-Verlag, 1990. Folks, J. Leroy. Ideas of Statistics New York, NY: John Wiley, 1981. Hacking, Ian. Logic of Statistical Inference New York, NY: Cambridge University Press, 1976. Hand, D.J. and Everitt, B.S., eds. The Statistical Consultant in Action New York, NY: Cambridge University Press, 1987. Hogg, Robert V., ed. Studies in Statistics Washington, DC: Mathematical Association of America, 1978. Hollander, Myles and Proschan, Frank. The Statistical Exorcist: Dispelling Statistics Anxiety New York, NY: Marcel Dekker, 1984. Hooke, Robert. How to Tell the Liars from the Statisticians New York, NY: Marcel Dekker, 1983. Huff, Darrell and Geis, I. How to Lie with Statistics New York, NY: W.W. Norton, 1954. * Jaffe, A.J. and Spirer, Herbert F. Misused Statistics: Straight Talk for Twisted Numbers New York, NY: Marcel Dekker, 1987. ** Landwehr, James M. and Watkins, Ann E. Exploring Data Palo Alto, CA: Dale Seymour, 1986. ** Landwehr, James M.; Swift, Jim; and Watkins, Ann E. Exploring Surveys and Information From Samples Palo Alto, CA: Dale Seymour, 1987. Moroney, M.J. Facts From Figures New York, NY: Penguin, 1957. Phillips, John L., Jr. How to Think about Statistics New York, NY: W.H. Freeman, 1988. *** Tanur, Judith M. and Mosteller, Frederick, eds. Statistics: A Guide to the Unknown, Belmont, CA: Wadsworth, 1989. Third Edition. *** Tufte, Edward R. The Visual Display of Quantitative Information Cheshire, CT: Graphics Press, 1983. ** Tufte, Edward R. Envisioning Information Cheshire, CT: Graphics Press, 1990. Wadsworth, Harrison M., ed. Handbook of Statistical Methods for Engineers and Scientists New York, NY: McGraw-Hill, 1990. Statistics: Introductory TextsArney, William R. Understanding Statistics in the Social Sciences New York, NY: W.H. Freeman, 1990.* Devore, Jay L. and Peck, Roxy. Statistics: The Exploration and Analysis of Data St.~Paul, MN: West, 1986. *** Freedman, David, et al. Statistics, New York, NY: W.W. Norton, 1978, 1991. Second Edition. Groenveld, Richard A. Introductory Statistical Methods Boston, MA: PWS-Kent, 1988. Kachigan, Sam K. Statistical Analysis: An Interdisciplinary Introduction to Univariate and Multivariate Methods New York, NY: Radius Press, 1986. ** Koopmans, Lambert H. Introduction to Contemporary Statistical Methods, Boston, MA: PWS-Kent, 1987. Second Edition. Mallios, William S. Statistical Modeling: Applications in Contemporary Issues Ames, IA: Iowa State University Press, 1989. * McClave, James T. and Dietrich, Frank H. Statistics, San Francisco, CA: Dellen, 1982, 1991. Fifth Edition. *** Moore, David S. Statistics: Concepts and Controversies, New York, NY: W.H. Freeman, 1979, 1991. Third Edition. ** Moore, David S. and McCabe, George P. Introduction to the Practice of Statistics New York, NY: W.H. Freeman, 1989. Noether, Gottfried. Introduction to Statistics: A Fresh Approach New York, NY: Springer-Verlag, 1991. * Peters, William S. Counting for Something: Statistical Principles and Personalities New York, NY: Springer-Verlag, 1986. ** Siegel, Andrew F. Statistics and Data Analysis: An Introduction New York, NY: John Wiley, 1988. Statistics: ElementaryBlalock, Hubert M., Jr. Social Statistics, New York, NY: McGraw-Hill, 1972. Second Edition.* Brown, Byron Wm., Jr. and Hollander, Myles. Statistics: A Biomedical Introduction New York, NY: John Wiley, 1977. Chatfield, Christopher. Problem Solving: A Statistician's Guide New York, NY: Chapman and Hall, 1988. Cox, C. Philip. A Handbook of Introductory Statistical Methods New York, NY: John Wiley, 1987. Huck, Schuyler W. and Sandler, Howard M. Statistical Illusions: Problems New York, NY: Harper and Row, 1984. * Larsen, Richard J. and Stroup, Donna F. Statistics in the Real World: A Book of Examples New York, NY: Macmillan, 1976. * Moses, Lincoln E. Think and Explain with Statistics Reading, MA: Addison-Wesley, 1986. Mosteller, Frederick and Rourke, Robert E.K. Sturdy Statistics: Nonparametrics and Order Statistics Reading, MA: Addison-Wesley, 1973. Youden, W.J. Experimentation and Measurement Washington, DC: National Bureau of Standards, 1984. * Youden, W.J. Risk, Choice, and Prediction: An Introduction to Experimentation Boston, MA: Duxbury Press, 1974. Statistics: Intermediate* Bickel, Peter J. and Doksum, Kjell A. Mathematical Statistics: Basic Ideas and Selected Topics Oakland, CA: Holden-Day, 1977.*** Box, George E.P.; Hunter, William G.; and Hunter, J. Stuart. Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building New York, NY: John Wiley, 1978. * Casella, George and Berger, Roger L. Statistical Inference Belmont, CA: Wadsworth, 1990. Chernoff, Herman and Moses, Lincoln E. Elementary Decision Theory Mineola, NY: Dover, 1986. Cox, D.R. and Snell, E. Joyce. Applied Statistics: Principles and Examples New York, NY: Chapman and Hall, 1981. * DeGroot, Morris H. Probability and Statistics, Reading, MA: Addison-Wesley, 1975, 1986. Second Edition. Devore, Jay L. Probability and Statistics for Engineering and the Sciences, Pacific Grove, CA: Brooks/Cole, 1982, 1991. Third Edition. Hogg, Robert V. and Craig, Allen T. Introduction to Mathematical Statistics, New York, NY: Macmillan, 1958, 1978. Fourth Edition. Hogg, Robert V. and Ledolter, Johannes. Engineering Statistics New York, NY: Macmillan, 1987. ** Hogg, Robert V. and Tanis, Elliot A. Probability and Statistical Inference, New York, NY: Macmillan, 1977, 1988. Third Edition. Kalbfleisch, J.G. Probability and Statistical Inference, New York, NY: Springer-Verlag, 1979, 1985. 2 Vols., Second Edition. Kempthorne, Oscar and Folks, J. Leroy. Probability, Statistics, and Data Analysis Ames, IA: Iowa State University Press, 1971. * Kiefer, Jack C. Introduction to Statistical Inference New York, NY: Springer-Verlag, 1987. * Larsen, Richard J. and Marx, Morris L. An Introduction to Mathematical Statistics and Its Applications, Englewood Cliffs, NJ: Prentice Hall, 1981, 1986. Second Edition. * Madansky, Albert. Prescriptions for Working Statisticians New York, NY: Springer-Verlag, 1988. Manoukian, Edward B. Modern Concepts and Theorems of Mathematical Statistics New York, NY: Springer-Verlag, 1986. Mendenhall, William; Wackerly, Dennis D.; and Scheaffer, Richard L. Mathematical Statistics with Applications, Boston, MA: PWS-Kent, 1990. Fourth Edition. Mood, Alexander M.; Graybill, Franklin A.; and Boes, D.C. Introduction to the Theory of Statistics, New York, NY: McGraw-Hill, 1974. Third Edition. ** Rao, C. Radhkirshna. Linear Statistical Inference and Its Applications, New York, NY: John Wiley, 1973. Second Edition. * Rice, John A. Mathematical Statistics and Data Analysis Belmont, CA: Wadsworth, 1988. Scheaffer, Richard L. and McClave, James T. Probability and Statistics for Engineers, Boston, MA: Duxbury Press, 1990. Third Edition. *** Snedecor, George W. and Cochran, William G. Statistical Methods, Ames, IA: Iowa State University Press, 1967, 1980. Seventh Edition. Wetherill, G. Barrie. Intermediate Statistical Methods New York, NY: Chapman and Hall, 1981. Statistics: AdvancedCox, D.R. and Hinkley, David V. Theoretical Statistics New York, NY: Chapman and Hall, 1974.* Cox, D.R. and Oakes, D. Analysis of Survival Data New York, NY: Chapman and Hall, 1984. David, H.A. Order Statistics, New York, NY: John Wiley, 1981. Second Edition. * Edgington, Eugene S. Randomization Tests, New York, NY: Marcel Dekker, 1980, 1987. Second Edition. Farnum, Nicholas R. and Stanton, LaVerne W. Quantitative Forecasting Methods Boston, MA: PWS-Kent, 1989. Hampel, Frank R., et al. Robust Statistics: The Approach Based on Influence Functions New York, NY: John Wiley, 1986. ** Hinkley, David V.; Reid, Nancy; and Snell, E. Joyce, eds. Statistical Theory and Modelling New York, NY: Chapman and Hall, 1990. ** Johnson, Norman L. and Kotz, Samuel. Discrete Distributions Boston, MA: Houghton Mifflin, 1969. ** Johnson, Norman L. and Kotz, Samuel. Continuous Univariate Distributions, Boston, MA: Houghton Mifflin, 1970. 2 Vols. *** Kendall, Maurice; Stuart, Alan; and Ord, J. Keith. The Advanced Theory of Statistics, New York, NY: Oxford University Press, 1987. 3~Vols. Lehmann, E.L. Theory of Point Estimation Belmont, CA: Wadsworth, 1991. * Lloyd, Emlyn, ed. Statistics New York, NY: John Wiley, 1984. Handbook of Applicable Mathematics, Volume VI. Statistics: Data Analysis** Agresti, Alan. Categorical Data Analysis New York, NY: John Wiley, 1990.* Andrews, D.F. and Herzberg, A.M. Data: A Collection of Problems from Many Fields for the Student and Research Worker New York, NY: Springer-Verlag, 1985. Breiman, Leo, et al. Classification and Regression Trees Belmont, CA: Wadsworth, 1984. Chambers, John M., et al. Graphical Methods for Data Analysis Belmont, CA: Wadsworth, 1983. *** Cleveland, William S. The Elements of Graphing Data, Belmont, CA: Wadsworth, 1985, 1991. Second Edition. ** Cox, D.R. and Snell, E. Joyce. Analysis of Binary Data, New York, NY: Chapman and Hall, 1989. Second Edition. * Efron, Bradley. The Jackknife, the Bootstrap, and Other Resampling Plans Philadelphia, PA: Society for Industrial and Applied Mathematics, 1982. Erickson, Bonnie H. and Nosanchuk, T.A. Understanding Data New York, NY: McGraw-Hill, 1977. * Fienberg, Stephen E. The Analysis of Cross-Classified Categorical Data Cambridge, MA: MIT Press, 1977. Fleiss, Joseph L. Statistical Methods for Rates and Proportions, New York, NY: John Wiley, 1981. Second Edition. *** Hoaglin, David C.; Mosteller, Frederick; and Tukey, John W., eds. Understanding Robust and Exploratory Data Analysis New York, NY: John Wiley, 1983. * Hoaglin, David C.; Mosteller, Frederick; and Tukey, John W., eds. Exploring Data Tables, Trends, and Shapes New York, NY: John Wiley, 1985. * Mosteller, Frederick; Fienberg, Stephen E.; and Rourke, Robert E.K. Beginning Statistics with Data Analysis Reading, MA: Addison-Wesley, 1983. Tukey, John W. Exploratory Data Analysis Reading, MA: Addison-Wesley, 1977. Velleman, Paul F. and Hoaglin, David C. Applications, Basics, and Computing of Exploratory Data Analysis Boston, MA: Duxbury Press, 1981. Statistics: Bayesian Methods* Berger, James O. Statistical Decision Theory and Bayesian Analysis, New York, NY: Springer-Verlag, 1980, 1985. Second Edition.Box, George E.P. and Tiao, George C. Bayesian Inference in Statistical Analysis Reading, MA: Addison-Wesley, 1973. Howson, Colin and Urbach, Peter. Scientific Reasoning: The Bayesian Approach La Salle, IL: Open Court, 1989. Iverson, Gudmund R. Bayesian Statistical Inference Beverly Hills, CA: Sage, 1984. Lindley, D.V. Bayesian Statistics: A Review Philadelphia, PA: Society for Industrial and Applied Mathematics, 1971. * Press, S. James. Bayesian Statistics: Principles, Models, and Applications New York, NY: John Wiley, 1989. Statistics: Computational StatisticsBecker, Richard A.; Chambers, John M.; and Wilks, Allan R. The New S Language: A Programming Environment for Data Analysis and Graphics Belmont, CA: Wadsworth, 1988.Hammersley, J.M. and Handscomb, D.C. Monte Carlo Methods New York, NY: John Wiley, 1964. Kennedy, William J., Jr. and Gentle, James E. Statistical Computing New York, NY: Marcel Dekker, 1980. * Thisted, Ronald A. Elements of Statistical Computing: Numerical Computation New York, NY: Chapman and Hall, 1988. Statistics: Linear Models and Regression AnalysisAtkinson, Anthony C. Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis New York, NY: Clarendon Press, 1985.* Bates, Douglas M. and Watts, Donald G. Nonlinear Regression Analysis and Its Applications New York, NY: John Wiley, 1988. Belsley, David A.; Kuh, Edwin; and Welsch, Roy E. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity New York, NY: John Wiley, 1980. Chatterjee, Samprit and Price, Bertram. Regression Analysis by Example New York, NY: John Wiley, 1977. * Cook, R. Dennis and Weisberg, Sanford. Residuals and Influence in Regression New York, NY: Chapman and Hall, 1982. Dobson, Annette J. An Introduction to Generalized Linear Models New York, NY: Chapman and Hall, 1990. ** Draper, Norman R. and Smith, H. Applied Regression Analysis, New York, NY: John Wiley, 1981. Second Edition. Graybill, Franklin A. Theory and Application of the Linear Model Boston, MA: Duxbury Press, 1976. Gunst, Richard F. and Mason, Robert L. Regression Analysis and Its Application: A Data-Oriented Approach New York, NY: Marcel Dekker, 1980. Hastie, T. and Tibshirani, R.J. Generalized Additive Models New York, NY: Chapman and Hall, 1990. * McCullagh, P. and Nelder, J.A. Generalized Linear Models, New York, NY: Chapman and Hall, 1983, 1989. Second Edition. Morrison, Donald F. Applied Linear Statistical Methods Englewood Cliffs, NJ: Prentice Hall, 1983. ** Mosteller, Frederick and Tukey, John W. Data Analysis and Regression: A Second Course in Statistics Reading, MA: Addison-Wesley, 1977. * Neter, John; Wasserman, William; and Kutner, Michael H. Applied Linear Statistical Models: Regression, Analysis of Variance, and Experimental Designs, Homewood, IL: Richard D. Irwin, 1983, 1985. Second Edition. *** Weisberg, Sanford. Applied Linear Regression, New York, NY: John Wiley, 1980, 1985. Second Edition. Statistics: Multivariate AnalysisAnderson, T.W. An Introduction to Multivariate Statistical Analysis, New York, NY: John Wiley, 1984. Second Edition.** Bishop, Yvonne M.M., et al. Discrete Multivariate Analysis: Theory and Practice Cambridge, MA: MIT Press, 1977. Chatfield, Christopher and Collins, Alexander J. Introduction to Multivariate Analysis New York, NY: Chapman and Hall, 1980. * Gnanadesikan, R. Methods For Statistical Data Analysis of Multivariate Observations New York, NY: John Wiley, 1977. Gordon, A.D. Classification: Methods for the Exploratory Analysis of Multivariate Data New York, NY: Chapman and Hall, 1981. Green, Paul E. and Carroll, J. Douglas. Mathematical Tools for Applied Multivariate Analysis New York, NY: Academic Press, 1976. Hand, D.J. Discrimination and Classification New York, NY: John Wiley, 1981. Jambu, Michel. Exploratory and Multivariate Data Analysis New York, NY: Academic Press, 1991. Jobson, J.D. Applied Multivariate Data Analysis New York, NY: Springer-Verlag, 1991. ** Johnson, Richard A. and Wichern, Dean W. Applied Multivariate Statistical Analysis, Englewood Cliffs, NJ: Prentice Hall, 1982, 1988. Second Edition. Kendall, Maurice. Multivariate Analysis, New York, NY: Macmillan, 1980. Second Edition. * Morrison, Donald F. Multivariate Statistical Methods, New York, NY: McGraw-Hill, 1967, 1990. Third Edition. Statistics: Nonparametric StatisticsGibbons, Jean D. Nonparametric Methods for Quantitative Analysis, Syracuse, NY: American Sciences Press, 1985. Second Edition.** Lehmann, E.L. and D'Abrera, H.J.M. Nonparametrics: Statistical Methods Based on Ranks San Francisco, CA: Holden-Day, 1975. * Randles, Ronald H. and Wolfe, Douglas A. Introduction to the Theory of Nonparametric Statistics New York, NY: John Wiley, 1979. Sprent, Peter. Applied Nonparametric Statistical Methods New York, NY: Chapman and Hall, 1989. Statistics: Experimental Design** Fisher, Ronald A. Statistical Methods, Experimental Design, and Scientific Inference, New York, NY: Oxford University Press, 1990. Combined Edition.* Mason, Robert L.; Gunst, Richard F.; and Hess, James L. Statistical Design and Analysis of Experiments: With Applications to Engineering and Science New York, NY: John Wiley, 1989. * Montgomery, Douglas C. Design and Analysis of Experiments, New York, NY: John Wiley, 1984, 1991. Third Edition. Statistics: Sampling and Survey DesignCochran, William G. Sampling Techniques, New York, NY: John Wiley, 1977. Third Edition.* Deming, W. Edwards. Some Theory of Sampling Mineola, NY: Dover, 1966. ** Scheaffer, Richard L.; Mendenhall, William; and Ott, Lyman. Elementary Survey Sampling Boston, MA: PWS-Kent, 1990. Sukhatme, P.V. and Sukhatme, B.V. Sampling Theory of Surveys with Applications, Ames, IA: Iowa State University Press, 1970. Second Edition. Wainer, Howard, ed. Drawing Inferences from Self-Selected Samples New York, NY: Springer-Verlag, 1986. * Williams, Bill. A Sampler on Sampling New York, NY: John Wiley, 1978. Statistics: Quality ControlBurr, Irving W. Elementary Statistical Quality Control New York, NY: Marcel Dekker, 1979.Dehnad, Khosrow, ed. Quality Control, Robust Design, and the Taguchi Method Belmont, CA: Wadsworth, 1989. * Montgomery, Douglas C. Introduction to Statistical Quality Control, New York, NY: John Wiley, 1985, 1991. Second Edition. * Ryan, Thomas P. Statistical Methods for Quality Improvement New York, NY: John Wiley, 1989. * Wadsworth, Harrison M.; Stephens, Kenneth S.; and Godfrey, A. Blanton. Modern Methods For Quality Control and Improvement New York, NY: John Wiley, 1986. Statistics: Time Series** Box, George E.P. and Jenkins, Gwilym M. Time Series Analysis, Forecasting, and Control, Oakland, CA: Holden-Day, 1976. Revised Edition.* Chatfield, Christopher. The Analysis of Time Series: An Introduction, New York, NY: Chapman and Hall, 1975, 1989. (Former title: The Analysis of Time Series: Theory and Practice.) Cox, D.R. and Lewis, P.A.W. The Statistical Analysis of Series of Events New York, NY: Methuen, 1966. Cryer, Jonathan D. Time Series Analysis Boston, MA: Duxbury Press, 1986. * Diggle, Peter J. Time Series: A Biostatistical Approach New York, NY: Oxford University Press, 1990. Statistics: Special TopicsBrainerd, Barron. Weighing Evidence in Language and Literature: A Statistical Approach Toronto: University of Toronto Press, 1974.Buncher, C. Ralph and Tsay, Jia-Yeong, eds. Statistics in the Pharmaceutical Industry New York, NY: Marcel Dekker, 1981. Cleary, James P. and Levenbach, Hans. The Professional Forecaster: The Forecasting Process Through Data Analysis Belmont, CA: Lifetime Learning, 1982. Gibbons, Jean D.; Olkin, Ingram; and Sobel, Milton. Selecting and Ordering Populations: A New Statistical Methodology New York, NY: John Wiley, 1977. Hedges, L. and Olkin, Ingram. Statistical Methods for Meta-Analysis New York, NY: Academic Press, 1985. Isaaks, Edward H. and Srivastava, R. Mohan. An Introduction to Applied Geostatistics New York, NY: Oxford University Press, 1990. Maciejowski, Jan M. The Modelling of Systems with Small Observation Sets New York, NY: Springer-Verlag, 1978. Pankratz, Alan. Forecasting With Univariate Box-Jenkins Models: Concepts and Cases New York, NY: John Wiley, 1983. Copyright ©1998 The Mathematical Association of America |