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Quality and Reliability Methods - SAS

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References 409<br />

Haal<strong>and</strong>, P.D. (1989), Experimental Design in Biotechnology, New York: Marcel Dekker, Inc.<br />

Hahn, G.J. (1976), “Process Improvement Through Simplex EVOP,” Chemical Technology 6, 243–345.<br />

Hahn, G. J. <strong>and</strong> Meeker, W. Q. (1991) Statistical Intervals: A Guide for Practitioners. New York: Wiley.<br />

Hajek, J. (1969), A Course in Nonparametric Statistics, San Francisco: Holden–Day.<br />

Harrell, F. (1986), “The Logist Procedure,” SUGI Supplemental Library User’s Guide, Version 5 Edition,<br />

Cary, NC: <strong>SAS</strong> Institute Inc.<br />

Harris, R.J. (1975), A Primer of Multivariate Statistics, New York: Academic Press.<br />

Hartigan, J.A. (1975), Clustering Algorithms, New York, John Wiley <strong>and</strong> Sons.<br />

Hartigan, J.A. (1981), “Consistence of Single Linkage for High–Density Clusters,” Journal of the American<br />

Statistical Association, 76, 388–394.<br />

Hartigan, J.A. <strong>and</strong> Kleiner, B. (1981), “Mosaics for Contingency Tables,” Proceedings of the 13th Symposium<br />

on the Interface between Computer Science <strong>and</strong> Statistics, Ed. Eddy, W. F., New York: Springer–Verlag,<br />

268–273.<br />

Harvey, A.C. (1976), “Estimating Regression Models with Multiplicative Heteroscedasticity,” Econometrica<br />

44–3 461–465.<br />

Hauck, W.W. <strong>and</strong> Donner, A. (1977), “Wald’s Test as Applied to Hypotheses in Logit Analysis,” Journal of<br />

the American Statistical Association, 72, 851–863.<br />

Hawkins, D.M. (1974), “The Detection of Errors in Multivariate Data Using Principal Components,”<br />

Journal of the American Statistical Association, 69.<br />

Hayashi, C. (1950), “On the Quantification of Qualitative Data from the Mathematico–Statistical Point of<br />

View,” Annals of the Institute of Statistical Mathematics, 2:1, 35–47.<br />

Hayter, A.J. (1984), “A proof of the conjecture that the Tukey–Kramer multiple comparisons procedure is<br />

conservative,” Annals of Mathematical Statistics, 12 61–75.<br />

Heinze, G. <strong>and</strong> Schemper, M. (2002), “A Solution to the Problem of Separation in Logistic Regression,”<br />

Statistics in Medicine 21:16, 2409–2419.<br />

Henderson, C.R. (1984), Applications of Linear Models in Animal Breeding, Univ. of Guelph.<br />

Hocking, R.R. (1985), The Analysis of Linear Models, Monterey: Brooks–Cole.<br />

Hoeffding, W (1948), “A Non-Parametric Test of Independence”, Annals of Mathematical Statistics, 19,<br />

546–557.<br />

Hoffman, Heike (2001). “Generalized Odds Ratios for Visual Modeling,” Journal of Computational <strong>and</strong><br />

Graphical Statistics, 10:4 pp. 628–640.<br />

Holl<strong>and</strong>, P.W. <strong>and</strong> Welsch, R.E. (1977), “Robust Regression Using Iteratively Reweighted Least Squares,”<br />

Communications Statistics: Theory <strong>and</strong> <strong>Methods</strong>, 6, 813–827.<br />

Hooper, J. H. <strong>and</strong> Amster, S. J. (1990), “Analysis <strong>and</strong> Presentation of <strong>Reliability</strong> Data,” H<strong>and</strong>book of<br />

Statistical <strong>Methods</strong> for Engineers <strong>and</strong> Scientists, Harrison M. Wadsworth, editor. New York: McGraw Hill.<br />

Hosmer, D.W. <strong>and</strong> Lemeshow, S. (1989), Applied Logistic Regression, New York: John Wiley <strong>and</strong> Sons.<br />

“Hot Dogs,” (1986), Consumer Reports (June), 364–367.<br />

Hsu, J. (1981), “Simultaneous confidence intervals for all distances from the ‘best’,” Annals of Statistics, 9,<br />

1026–1034.

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