Portal de Periódicos da CAPES

References

2012; Wiley; Linguagem: Inglês

10.1002/9781118391686.refs

1940-6347

Alvin C. Rencher, William F. Christensen,

Sensory Analysis and Statistical Methods

Free Access References Alvin C. Rencher, Alvin C. RencherSearch for more papers by this authorWilliam F. Christensen, William F. ChristensenSearch for more papers by this author Book Author(s):Alvin C. Rencher, Alvin C. RencherSearch for more papers by this authorWilliam F. Christensen, William F. ChristensenSearch for more papers by this author First published: 16 July 2012 https://doi.org/10.1002/9781118391686.refsBook Series:Wiley Series in Probability and Statistics AboutPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShareShare a linkShare onFacebookTwitterLinked InRedditWechat References Amemiya, Y., and Anderson, T. W. (1990), “Asymptotic Chi-Square Tests for a Large Class of Factor Analysis Models,” The Annals of Statistics, 18, 1453– 1463. Anderberg, M. R. (1973), Cluster Analysis for Applications, New York: Academic Press. Anderson, E. (1960), “A Semi-Graphical Method for Analysis of Complex Problems,” Technometrics, 2, 287– 292. Anderson, T. W., and Amemiya, Y. (1988), “The Asymptotic Normal Distribution of Estimators in Factor Analysis Under General Conditions,” The Annals of Statistics, 16, 759– 771. Andrews, D. F., Gnanadesikan, R., and Warner, J. L. (1971), “Transformations of Multivariate Data,” Biometrics, 27, 825– 840. Andrews, D. F., and Herzberg, A. M. (1985), Data, New York: Springer-Verlag. Asimov, D. (1985), “The Grand Tour: A Tool for Viewing Multidimensional Data,” SIAM Journal of Scientific Statistical Computing, 6, 128– 143. Bailey, B. J. R. (1977), “Tables of the Bonferroni t Statistic,” Journal of the American Statistical Association, 72, 469– 479. Barcikowski, R. S. (1981), “Statistical Power with Group Means as the Unit of Analysis,” Journal of Educational Statistics, 6, 267– 285. Barnett, V., and Lewis, T. (1978), Outliers in Statistical Data, New York: Wiley. Bartlett, M. S. (1937), “Properties of Sufficiency and Statistical Tests,” Proceedings of the Royal Society of London, Ser. A, 160, 268– 282. Baten, W. D., Tack, P. I., and Baeder, H. A. (1958), “Testing for Differences between Methods of Preparing Fish by Use of Discriminant Function,” Industrial Quality Control 14, 6– 10. Bayne, C. K., Beauchamp, J. J., Kane, V. E., and McCabe, G. P. (1983), “Assessment of Fisher and Logistic Linear and Quadratic Discrimination Models,” Computational Statistics and Data Analysis, 1, 257– 273. Beale, E. M. L. (1969), “Euclidean Cluster Analysis,” Bulletin of the International Statistical Institute, 43 (2), 92– 4. Beall, G. (1945), “Approximate Methods in Calculating Discriminant Functions,” Psychometrika, 10 (3), 205– 217. Beauchamp, J. J., and Hoel, D. G. (1973), “Some Investigation and Simulation Studies of Canonical Analysis,” Journal of Statistical Computation and Simulation, 2, 197– 209. Beckman, R. J., and Cook, R. D. (1983), “Outliers” (with comments), Technometrics, 25, 119– 163. Bentler, P. M. (1989), EQS, Structural Equations, Program Manual, Program Version 3.0, Los Angeles: BMDP Statistical Software, Inc. Benzécri, J.-P. (1992), Correspondence Analysis Handbook, New York: Marcel Dekker. Bock, R. D. (1963), “ Multivariate Analysis of Variance of Repeated Measurements,” in Problems of Measuring Change, C. W. Harris (ed.), Madison, WI: University of Wisconsin Press, pp. 85– 103. Bock, R. D. (1975), Multivariate Statistical Methods in Behavioral Research, New York: McGraw-Hill. Boik, R. J. (1981), “A Priori Tests in Repeated Measures Designs: Effects of Nonsphericity,” Psychometrika, 46, 241– 255. Bollen, K. A. (1989), Structural Equations with Latent Variables, New York: John Wiley & Sons. Bonferroni, C. E. (1936), “Il Calcolo delle Assicurazioni su Gruppi di Teste,” in Studii in Onore del Profesor S. O. Carboni Roma. Box, G. E. P. (1949), “A General Distribution Theory for a Class of Likelihood Criteria,” Biometrika, 36, 317– 346. Box, G. E. P. (1950), “Problems in the Analysis of Growth and Linear Curves,” Biometrics, 6, 362– 389. Box, G. E. P. (1954), “Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems: II. The Effect of Inequality of Variance and of Correlation between Errors in the Two-Way Classification,” Annals of Mathematical Statistics, 25, 484– 498. Box, G. E. P., and Cox, D. R. (1964), “An Analysis of Transformations,” Journal of the Royal Statistical Society (B), 26, 211– 252. Box, G. E. P., and Youle, P. V (1955), “The Exploration of Response Surfaces: An Example of the Link Between the Fitted Surface and the Basic Mechanism of the System,” Biometrics, 11, 287– 323. Breiman, L., Friedman, H., Olshen, R. A., and Stone, C. J. (1984), Classification and Regression Trees, Belmont, CA: Wadsworth International. Brown, B. L., Strong, W. J., and Rencher, A. C. (1973), “Perceptions of Personality from Speech: Effects of Manipulations of Acoustical Parameters,” The Journal of the Acoustical Society of America, 54, 29– 35. Brown, B. L., Williams, R. N., and Barlow, C. D. (1984), “PRIFAC: A Pascal Factor Analysis Program,” Journal of Pascal Ada, and Modula, 2, 18– 24. Brown, T. A., and Koplowitz, J. (1979), “The Weighted Nearest Neighbor Rule for Class Dependent Sample Sizes,” IEEE Transactions on Information Theory, IT-25, 617– 619. Bryce, G. R. (1980), “Some Observations on the Analysis of Growth Curves,” Paper No. SD-025–R, Brigham Young University, Department of Statistics. Buck, S. F. A. (1960), “A Method of Estimation of Missing Values in Multivariate Data Suitable for Use with an Electronic Computer,” Journal of the Royal Statistical Society, Series B, 22, 302– 307. Buja, A., Cook, D., Asimov, D., and Hurley, C. (2005), “ Computational Methods for High-Dimensional Rotations in Data Visualization,” in Handbook of Statistics: Data Mining and Visualization, Vol. 24, C. R. Rao, E. J. Wegman, and J. L. Solka (eds.), New York: Elsevier/North Holland, pp. 391– 413. Burdick, R. K. (1979), “On the Use of Canonical Analysis to Test MANOVA Hypotheses,” Presented at the Annual Meeting of the American Statistical Association, Washington, DC, August 1979. Cacoullos, T. (1966), “Estimation of a Multivariate Density,” Annals of the Institute of Statistical Mathematics, 18, 179– 189. Cameron, E., and Pauling, L. (1978), “Supplemental Ascorbate in the Supportive Treatment of Cancer: Reevaluation of Prolongation of Survival Times in Terminal Human Cancer,” Proceedings of the National Academy of Sciences, U.S.A., 75, 4538– 4552. Campbell, N. A. (1980), “Robust Procedures in Multivariate Analysis I. Robust Co-variance Estimation,” Applied Statistics, 29, 231– 237. Chambers, J. M., and Kleiner, B. (1982), “ Graphical Techniques for Multivariate Data and for Clustering,” in Handbook of Statistics, Vol. 2, P. R. Krishnaiah and L. N. Kanal (eds.), New York: North-Holland, pp. 209– 244. Chernoff, H. (1973), “The Use of Faces to Represent Points in k-Dimensional Space Graphically,” Journal of the American Statistical Association, 68, 361– 368. Chidananda Gowda, K., and Krishna, G. (1979), “The Condensed Nearest Neighbor Rule Using the Concept of Mutual Nearest Neighborhood,” IEEE Transactions on Information Theory, IT-25, 488– 490. Clausen, Sten-Erik (1998), Applied Correspondence Analysis, Thousand Oaks, CA: Sage Publications. Cochran, W. G., and Cox, G. M. (1957), Experimental Designs, 2nd ed. New York: Wiley. Collier, R. O., Baker, F. B., Mandeville, G. K., and Hayes, T. F. (1967), “Estimates of Test Size for Several Procedures Based on Conventional Ratios in the Repeated Measure Design,” Psychometrika, 32, 339– 353. Colvin, T. S., Jaynes, D. B., Karlen, D. L., Laird, D. A., and Ambuel, J. R. (1997), “Yield Variability Within a Central Iowa Field,” Transactions of the ASAE, 40, 883– 889. Cook, D., and Swayne, D. F. (2007), Interactive and Dynamic Graphics for Data Analysis, With R and GGobi, New York: Springer. Cramer, E. M., and Nicewander, W. A. (1979), “Some Symmetric, Invariant Measures of Multivariate Association,” Psychometrika, 44, 43– 54. Crepeau, H., Koziol, J., Reid, N., and York, Y. S. (1985), “Analysis of Incomplete Multivariate Data from Repeated Measurement Experiments,” Biometrics, 41, 505– 514. Critchley, F. (1985), “Influence in Principal Components Analysis,” Biometrika, 72, 627– 636. Crowder, M. J., and Hand, D. J. (1990), Analysis of Repeated Measures, New York: Chapman & Hall. D'Agostino, R. B. (1971), “An Omnibus Test of Normality for Moderate and Large Size Samples,” Biometrika, 58, 341– 348. D'Agostino, R. B. (1972), “Small Sample Probability Points for the D Test of Normality,” Biometrika, 59, 219– 221. D'Agostino, R. B., and Pearson, E. S. (1973), “Tests for Departure from Normality. Empirical Results for the Distributions of b2 and b1,” Biometrika, 60, 613– 622; correction, 61, 647. D'Agostino, R. B., and Tietjen, G. L. (1971), “Simulated Probability Points of b2 for Small Samples,” Biometrika, 58, 669– 672. Davidson, M. L. (1972), “Univariate versus Multivariate Tests in Repeated Measures Experiments,” Psychological Bulletin, 77, 446– 452. Davidson, M. L. (1983), Multidimensional Scaling, New York: Wiley. Davis, A. W. (1970a), “Exact Distributions of Hotelling's Generalized T02-Test,” Biometrika, 57, 187– 191. Davis, A. W. (1970b), “Further Applications of a Differential Equation for Hotelling's Generalized T02-Test,” Annals of the Institute of Statistical Mathematics, 22, 77– 87. Davis, A. W. (1970c), “Differential Equation of Hotellings Generalized,” Annals of Statistics, 39, 815– 832. Davis, A. W. (1972), “On the Marginal Distributions of the Latent Roots of the Multivariate Beta Matrix,” Biometrika, 43, 1664– 1670. Davis, A. W. (1979), “On the Differential Equation for Meijer Gp,p0,0 Function, and Further Wilks's Likelihood Ratio Criterion,” Biometrika, 66, 519– 531. Davis, A. W. (1980), “Further Tabulation of Hotelling's Generalized T02-Test,” Communications in Statistics—Part B Simulation and Computation, 9, 321– 336. Dawkins, B. (1989), “Multivariate Analysis of National Track Records,” American Statistician, 43, 110– 115. Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977), “Maximum Likelihood from Incomplete Data via the EM Algorithm,” Journal of the Royal Statistical Society, Series B, 39, 1– 38. Devlin, S. J., Gnanadesikan, R., and Kettenring, J. R. (1981), “Robust Estimation of Dispersion Matrices and Principal Components,” Journal of the American Statistical Association, 76, 354– 362. Dubien, J. L. and Warde, W. D. (1979), “A Mathematical Comparison of the Members of an Infinite Family of Agglomerative Clustering Algorithms,” Canadian Journal of Statistics, 7, 29– 38. Duran, B. S. and Odell, P. L. (1974), “ Cluster Analysis: A Survey,” Lecture Notes in Economics and Mathematical Systems, New York: Springer-Verlag. Edwards, D. and Kreiner, S. (1983), “The Analysis of Contingency Tables by Graphical Models,” Biometrika, 70 (3), pp. 553– 65. Ehrenberg, A. S. C. (1977), “Rudiments of Numeracy,” Journal of the Royal Statistical Society, Series A, 140, 277– 297. Elston, R. C., and Grizzle, J. E. (1962), “Estimation of Time-Response Curves and Their Confidence Bands,” Biometrics, 18, 148– 159. Everitt, B. S. (1987), Introduction to Optimization Methods and Their Application in Statistics, London: Chapman & Hall. Everitt, B. S. (1993), Cluster Analysis, 3rd ed., London: Edward Arnold. Fearn, T. (1975), “A Bayesian Approach to Growth Curves,” Biometrika, 62, 89– 100. Fearn, T. (1977), “A Two-Stage Model for Growth Curves Which Leads to Rao's Covariance Adjusted Estimators,” Biometrika, 64, 141– 143. Federer, W. T. (1986), “On Planning Repeated Measures Experiments,” Unit Report BU-909–M, Cornell University, Biometrics Unit. Fehlberg, W. T. (1980), “Repeated Measures: The Effect of a Preliminary Test for the Structure of the Covariance Matrix upon the Alpha Levels of the Tests for Experimental Design Factors,” M. A. Thesis, Brigham Young University, Department of Statistics. Ferguson, T. S. (1961), “ On the Rejection of Outliers,” Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, Vol. 1, Los Angeles, CA: University of California Press, pp. 253– 287. Fisher, R. A. (1936), “The Use of Multiple Measurement in Taxonomic Problems,” Annals of Eugenics, 7, 179– 188. Fix, E., and Hodges, J. L. (1951), “Discriminatory Analysis, Nonparametric Discrimination: Consistency Properties,” Report No. 4, Project No. 21–49–004, Brooks Air Force Base, USAF School of Aviation Medicine. Flack, V. F., and Chang, P. C. (1987), “Frequency of Selecting Noise Variables in Subset Regression Analysis: A Simulation Study,” American Statistician, 41, 84– 86. Flury, B., and Riedwyl, H. (1981), “Graphical Representation of Multivariate Data by Means of Asymmetric Faces,” Journal of the American Statistical Association, 76, 757– 765. Flury, B., and Riedwyl, H. (1985), “T2 Tests, the Linear Two-Group Discriminant Function, and Their Computation by Linear Regression,” American Statistician, 39, 20– 25. Frets, G. P. (1921), “Heredity of Head Form in Man,” Genetica, 3, 193– 384. Friedman, J. H. and Tukey, J. W. (1974), “A Projection Pursuit Algorithm for Exploratory Data Analysis,” IEEE Transactions on Component Parts, 9, 881– 890. Fuller, W. A. (1987), Measurement Error Models, New York: John Wiley & Sons. Furnival, G. M., and Wilson, R. W. (1974), “Regression by Leaps and Bounds,” Technometrics, 16, 499– 511. Gabriel, K. R. (1968), “Simultaneous Test Procedures in Multivariate Analysis of Variance,” Biometrika, 55, 489– 504. Gabriel, K. R. (1969), “Simultaneous Test Procedures—Some Theory of Multiple Comparisons,” Annals of Mathematics and Statistics, 40, 224– 250. Gabriel, K. R. (1971), “The Biplot Graphical Display of Matrices with Application to Principal Component Analysis,” Biometrika, 58, 453– 467. Gates, G. W. (1972), “The Reduced Nearest Neighbor Rule,” IEEE Transactions on Information Theory, IT-18, 431. Geisser, S. (1980), “ Growth Curve Analysis,” In Handbook of Statistics, Vol. 1, P. R. Krishnaiah (ed.), Amsterdam: North-Holland, pp. 89– 115. Gerbing, D. W. and Hamilton, J. G. (1996), “Viability of Exploratory Factor Analysis as a Precursor to Confirmatory Factor Analysis,” Structural Equation Modeling, 3, 62– 72. Gilbert, E. S. (1968), “On Discrimination Using Qualitative Variables,” Journal of the American Statistical Association, 63, 1399– 1412. Gnanadesikan, R. (1997), Methods for Statistical Data Analysis of Multivariate Observations, 2nd ed., New York: Wiley. Gnanadesikan, R., and Kettenring, J. R. (1972), “Robust Estimates, Residuals, and Outlier Detection with Multiresponse Data,” Biometrics, 28, 81– 124. Gordon, A. D. (1999), Classification, 2nd ed., London: Chapman & Hall/CRC. Gower, J. C. (1966), “Some Distance Properties of Latent Root and Vector Methods used in Multivariate Analysis,” Biometrika, 53, 325– 338. Gower, J. C. and Hand, D. J. (1996), Biplots, London: Chapman & Hall. Graybill, F. A. (1969), Introduction to Matrices with Applications in Statistics, Belmont, CA: Wadsworth. Greenacre, M. J. (1984), Theory and Applications of Correspondence Analysis, London: Academic Press. Greenhouse, S. W., and Geisser, S. (1959), “On Methods in the Analysis of Profile Data,” Psychometrika, 24, 95– 112. Grizzle, J. E., and Allen, D. M. (1969), “Analysis of Growth and Dose Response Curves,” Biometrics, 25, 357– 381. Guttman, I. (1982), Linear Models: An Introduction, New York: Wiley. Habbema, J. D. F., Hermans, J., and Remme, J. (1978), “ Variable Kernel Density Estimation in Discriminant Analysis,” In Compstat 1978: Proceedings in Computational Statistics, G. Bruckman (ed.), Vienna: Physica-Verlag, pp. 178– 185. Habbema, J. D. F., Hermans, J., and van den Broek, K. (1974), “ A Stepwise Discriminant Analysis Program Using Density Estimation,” In Comstat, G. Bruckmann, F. Ferschl, and L. Schmetterer (eds.), Vienna: Physica-Verlag, pp. 101– 110. Hammond, J., Smith, D., and Gill, D. S. (1981), “Selection of Adequate Subsets in Multivariate Multiple Regression,” Presented at the Annual Meeting of the American Statistical Association, August 10–13, Detroit, ML Hand, D. J., and Batchelor, B. G. (1978), “An Edited Condensed Nearest Neighbor Rule,” Information Sciences, 14, 171– 180. Hand, D. J., Daly, F., Lunn, A. D., McConway, K. J., and Ostrowski, E. (eds.) (1994), A Handbook of Small Data Sets, London: Chapman & Hall. Harman, H. H. (1976), Modem Factor Analysis, 3rd rev. ed., Chicago: University of Chicago Press. Hart, P. E. (1968), “The Condensed Nearest Neighbor Rule,” IEEE Transactions on Information Theory, IT-14, 515– 516. Hartigan, J. A. (1975a), Clustering Algorithms, New York: John Wiley & Sons. Hartigan, J. A. (1975b), “Printer Graphics for Clustering,” Journal of Statistical Computation and Simulation, 4, 187– 213. Harville, D. A. (1997), Matrix Algebra from a Statistician's Perspective, New York: Springer-Verlag. Hastie, T., Tibshirani, R., and Friedman, J. (2009), The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Second Edition), New York: Springer. Hawkins, D. M. (1980), Identification of Outliers, London: Chapman & Hall. Healy, M. J. R. (1969), “Rao's Paradox Concerning Multivariate Tests of Significance,” Biometrics, 25, 411– 413. Heywood, H. B. (1931), “On Finite Sequences of Real Numbers,” Proceedings of the Royal Society, Series A, 134, 486– 501. Hilton, D. K. (1983), “A Simulation and Comparison of Three Criterion Functions Used for Subset Selection in Linear Regression,” M.A. Thesis, Brigham Young University, Department of Statistics. Hocking, R. R. (1976), “The Analysis and Selection of Variables in Linear Regression,” Biometrics, 32, 1– 51. Hotelling, H. (1931), “The Generalization of Student's Ratio,” Annals of Mathematical Statistics, 2, 360– 378. Hotelling, H. (1951), “A Generalized T Test and Measure of Multivariate Dispersion,” Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability, 1, 23– 41. Hsu, P. L. (1938), “Notes on Hotelling's Generalized T2,” Annals of Mathematical Statistics, 9, 231– 243. Hu, L.-T., and Bentler, P. M. (1999), “Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives,” Structural Equation Modeling: A Multidisciplinary Journal, 6, 1– 55. Huber, P. J. (1985), “Projection Pursuit,” Annals of Statistics, 13, 435– 525. Huberty, C. J. (1975), “The Stability of Three Indices of Relative Variable Contribution in Discriminant Analysis,” Journal of Experimental Education, 44, 59– 64. Hummel, T. J., and Sligo, J. (1971), “Empirical Comparison of Univariate and Multivariate Analysis of Variance Procedures,” Psychological Bulletin, 76, 49– 57. Huynh, H. (1978), “Some Approximate Tests in Repeated Measures Designs,” Psychometrika, 43, 1582– 1589. Huynh, H., and Feldt, L. S. (1970), “Conditions Under Which Mean Square Ratios in Repeated Measurement Designs Have Exact F Distributions,” Journal of the American Statistical Association, 65, 1582– 1589. Huynh, H., and Feldt, L. S. (1976), “Estimation of the Box Correction for Degrees of Freedom from Sample Data in Randomized Block and Split-Plot Designs,” Journal of Educational Statistics, 1 (1), 69– 82. Inselberg, A. (1985), “The Plane with Parallel Coordinates,” The Visual Computer, 1, 69– 91. Izenman, A. J., and Williams, J. S. (1989), “A Class of Linear Spectral Models and Analyses for the Study of Longitudinal Data,” Biometrics, 45, 831– 849. Jackson, D., and Bryce, G. R. (1981), “A Univariate-Like Method of Analyzing Growth Curve Data with Nonuniform Variance-Covariance Matrices,” Paper No. SD-028-R, Brigham Young University, Department of Statistics. Jackson, J. E. (1980), “Principal Components and Factor Analysis: Part I—Principal Components,” Journal of Quality Technology, 12, 201– 213. Jacoby, W. G. (1998), Statistical Graphics for Visualizing Multivariate Data, Thousand Oaks, CA: Sage Publications. Jardine, N. and Sibson, R. (1968), “The Construction of Hierarchic and Non-hierarchic Classifications,” Computer Journal, 11, 117– 184. Jardine, N. and Sibson, R. (1971), Mathematical Taxonomy, London: Wiley. Jeffers, J. N. R. (1967), “Two Case Studies in the Application of Principal Component Analysis,” Applied Statistics, 16, 225– 236. Jensen, D. R. (1982), “Efficiency and Robustness in the Use of Repeated Measurements,” Biometrics, 38, 813– 825. Jensen, R. E. (1969), “A Dynamic Programming Algorithm for Cluster Analysis,” Operations Research, 12, 1034– 1057. Jobson, J. D. (1992), Applied Multivariate Data Analysis, Volume II: Categorical and Multivariate Methods, New York: Springer-Verlag. Jolliffe, I. T. (1972), “Discarding Variables in a Principal Component Analysis, I: Artificial Data,” Applied Statistics, 21, 160– 173. Jolliffe, I. T. (1973), “Discarding Variables in a Principal Component Analysis, II: Real Data,” Applied Statistics, 22, 21– 31. Jones, M. C. and Sibson, R. (1987), “What is Projection Pursuit?” Journal of the Royal Statistical Society, 150, 1– 36. Joreskog, K. G. and Sörbom, D. (1985), LISREL VI; Analysis of Linear Structural Relationships by Maximum Likelihood, Instrumental Variables, and Least Squares, Uppsala, Sweden: University of Uppsala. Kabe, D. G. (1985), “On Some Multivariate Statistical Methodology with Applications to Statistics, Psychology, and Mathematical Programming,” Journal of the Industrial Mathematics Society, 35, 1– 18. Kaiser, H. F. (1970), “A Second Generation Little Jiffy,” Psychometrika, 35, 401– 415. Kaiser, H. F., and Rice, J. (1974), “Little Jiffy, Mark IV,” Educational and Psychological Measurement, 34, 111– 117. Kaufman, L., and Rousseeuw, P. J. (1990), Finding Groups in Data: An Introduction to Cluster Analysis, New York: Wiley. Keuls, M., Martakis, G. F. P., and Magid, A. H. A. (1984), “The Relationship between Pod Yield and Specific Leaf Area in Snapbeans; an Example of Stepwise Multivariate Analysis of Variance,” Scientia Horticulturae, 23, 231– 246. Khattree, R. and Naik, D. N. (1999), Applied Multivariate Statistics with SAS Software, 2nd ed, New York: Wiley. Khattree, R. and Naik, D. N. (2000), Multivariate Data Reduction and Discrimination with SAS Software, New York: Wiley. Khuri, A. I., Mathew, T., and Nel, D. G. (1994), “A Test to Determine Closeness of Multivariate Satterthwaite's Approximation,” Journal of Multivariate Analysis, 51, 201– 209. Kleinbaum, D. G., Kupper, L. L., and Muller, K. E. (1988), Applied Regression Analysis and Other Multivariable Methods, Boston: PWS-KENT. Kleiner, B., and Hartigan, J. A. (1981), “Representing Points in Many Dimensions by Trees and Castles,” Journal of the American Statistical Association, 76, 260– 269. Kramer, C. Y. (1972), A First Course in Multivariate Analysis, Published by the author, Blacksburg, VA. Kramer, C. Y., and Jensen, D. R. (1969a), “Fundamentals of Multivariate Analysis, Part I. Inference about Means,” Journal of Quality Technology, 1 (2), 120– 133. Kramer, C. Y., and Jensen, D. R. (1969b), “Fundamentals of Multivariate Analysis, Part II. Inference about Two Treatments,” Journal of Quality Technology, 1 (3), 189– 204. Kramer, C. Y., and Jensen, D. R. (1970), “Fundamentals of Multivariate Analysis, Part IV Analysis of Variance for Balanced Experiments,” Journal of Quality Technology, 2, 32– 40. Kruskal, J. B. (1964a), “Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis,” Psychometrika, 29, 1– 27. Kruskal, J. B. (1964b), “Nonmetric Multidimensional Scaling: A Numerical Method,” Psychometrika, 29, 115– 129. Kruskal, J. B. and Wish, M. (1978), Multidimensional Scaling, Beverly Hills, CA: Sage Publications. Krzanowski, W. J. (1975), “Discrimination and Classification Using Both Binary and Continuous Variables,” Journal of the American Statistical Association, 70, 782– 790. Krzanowski, W. J. (1976), “Canonical Representation of the Location Model for Discrimination or Classification,” Journal of the American Statistical Association, 71, 845– 848. Krzanowski, W. J. (1977), “The Performance of Fisher's Linear Discriminant Function Under Non-Optimal Conditions,” Technometrics, 19, 191– 200. Krzanowski, W. J. (1979), “Some Linear Transformations for Mixtures of Binary and Continuous Variables, with Particular Reference to Linear Discriminant Analysis,” Biometrika, 66, 33– 39. Krzanowski, W. J. (1980), “Mixtures of Continuous and Categorical Variables in Discriminant Analysis,” Biometrics, 36, 493– 499. Lachenbruch, P. A. (1975), Discriminant Analysis, New York: Hafner. Lachenbruch, P. A., and Goldstein, M. (1979), “Discriminant Analysis,” Biometrics, 35, 69– 85. Lance, G. N. and Williams, W. T. (1966), “Computer Programs for Hierarchical Polythetic Classification,” Computer Journal, 9, 60– 64. Lance, G. N. and Williams, W. T. (1967), “A General Theory of Classificatory Sorting Strategies: I. Hierarchical Systems,” Computer Journal, 9, 373– 380. Lavine, B., and Carlson, D. (1987), “European Bee or Africanized Bee?: Species Identification through Chemical Analysis,” Analytical Chemistry, 59 (6), 468– 470. Lawley, D. N. (1938), “A Generalization of Fisher's Z-Test,” Biometrika, 30, 180– 187. Lee, J. C. (1988), “Prediction and Estimation of Growth Curves with Special Covariance Structures,” Journal of the American Statistical Association, 83, 432– 440. Lee, J. C., Chang, T. C., and Krishnaiah, P. R. (1977), “ Approximations to the Distributions of the Likelihood Ratio Statistics for Testing Certain Structures on the Covariance Matrices of Real Multivariate Normal Populations,” In Multivariate Analysis, Vol. 4, P. R. Krishnaiah (ed.), Amsterdam: North-Holland, pp. 105– 118. Lee, Y. (1972), “Some Results on the Distribution of Wilks's Likelihood Ratio Criterion,” Biometrika, 95, 649– 664. Lin, C. C., and Mudholkar, G. S. (1980), “A Simple Test for Normality Against Asymmetric Alternatives,” Biometrika, 67, 455– 461. Lindsey, H., Webster, J. T., and Halpern, H. (1985), “Canonical Correlation as a Discriminant Tool in a Periodontal Problem,” Biometrika, 72, 257– 264. Loftsgaarden, D. O., and Quesenberry, C. P. (1965), “A Nonparametric Estimate of a Multivariate Density Function,” Annals of Mathematical Statistics, 36, 1049– 1051. Lubischew, A. A. (1962), “On the Use of Discriminant Functions in Taxonomy,” Biometrics, 18, 455– 477. MacNaughton-Smith, P., Williams, W. T., Dale, M. B. and Mockett, L. G. (1964), “Dissimilarity Analysis,” Nature, 202, 1034– 1035. Mahalanobis, P. C. (1936), “On the Generalized Distance in Statistics,” Proceedings of the National Institute of Sciences of India, 12, 49– 55. Mallows, C. L. (1964), “Choosing Variables in a Linear Regression