References - P

A B C D E F G H I J K L M N O P Q R S T U V W Y Z

Page, E. S. (1954). Continuous inspection schemes. Biometrics, 41, 100-114.

Page, E. S. (1961). Cumulative sum charts. Technometrics, 3, 1-9.

Palumbo, F. A., & Strugala, E. S. (1945). Fraction defective of battery adapter used in handie-talkie. Industrial Quality Control, November 1945, 6-9.

Pande, P. S., Neuman, R. P., Cavanagh, R. R. (2000). The Six Sigma way: How GE, Motorola, and other top companies are honing their performance. New York: McGraw.

Pankratz, A. (1983). Forecasting with univariate Box-Jenkins models: Concepts and cases. New York: Wiley.

Parker, D.B. (1985). Learning logic. Technical Report TR-47, Cambridge, MA: MIT Center for Research in Computational Economics and Management Science.

Parzen, E. (1961). Mathematical considerations in the estimation of spectra: Comments on the discussion of Messers, Tukey, and Goodman. Technometrics, 3, 167-190; 232-234.

Parzen, E. (1962). On estimation of a probability density function and mode. Annals of Mathematical Statistics 33, 1065-1076.

Patil, K. D. (1975). Cochran's Q test: Exact distribution. Journal of the American Statistical Association, 70, 186-189.

Patterson, D. (1996). Artificial Neural Networks. Singapore: Prentice Hall.

Peace, G. S. (1993). Taguchi methods: A hands-on approach. Milwaukee, Wisconsin: ASQC.

Pearson, E. S., and Hartley, H. O. (1972). Biometrika tables for statisticians, Vol II. Cambridge: Cambridge University Press.

Pearson, K. (1894). Contributions to the mathematical theory of evolution. Philosophical Transactions of the Royal Society of London, Ser. A, 185, 71-110.

Pearson, K. (1895). Skew variation in homogeneous material. Philosophical Transactions of the Royal Society of London, Ser. A, 186, 343-414.

Pearson, K. (1896). Regression, heredity, and panmixia. Philosophical Transactions of the Royal Society of London, Ser. A, 187, 253-318.

Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 5th Ser., 50, 157-175.

Pearson, K. (1904). On the theory of contingency and its relation to association and normal correlation. Drapers' Company Research Memoirs, Biometric Ser. I.

Pearson, K. (1905). Das Fehlergesetz und seine Verallgemeinerungen durch Fechner und Pearson. A Rejoinder. Biometrika, 4, 169-212.

Pearson, K. (1908). On the generalized probable error in multiple normal correlation. Biometrika, 6, 59-68.

Pearson, K., (Ed.). (1968). Tables of incomplete beta functions (2nd ed.). Cambridge, MA: Cambridge University Press.

Pedhazur, E. J. (1973). Multiple regression in behavioral research. New York: Holt, Rinehart, & Winston.

Pedhazur, E. J. (1982). Multiple regression in behavioral research (2nd ed.). New York: Holt, Rinehart, & Winston.

Peressini, A. L., Sullivan, F. E., & Uhl, J. J., Jr. (1988). The mathematics of nonlinear programming. New York: Springer.

Peto, R., & Peto, J. (1972). Asymptotically efficient rank invariant procedures. Journal of the Royal Statistical Society, 135, 185-207.

Phadke, M. S. (1989). Quality engineering using robust design. Englewood Cliffs, NJ: Prentice-Hall.

Phatak, A., Reilly, P. M., and Penlidis, A. (1993). An Approach to Interval Estimation in Partial Least Squares Regression, Analytica Chimica Acta, 277, 495-501

Piatetsky-Shapiro, G. (Ed.) (1993). Proceedings of AAAI-93 Workshop on Knowledge Discovery in Databases. Menlo Park, CA: AAAI Press.

Piepel, G. F. (1988). Programs for generating extreme vertices and centroids of linearly constrained experimental regions. Journal of Quality Technology, 20, 125-139.

Piepel, G. F., & Cornell, J. A. (1994). Mixture experiment approaches: Examples, discussion, and recommendations. Journal of Quality Technology, 26, 177-196.

Pigou, A. C. (1920). Economics of Welfare. London: Macmillan.

Pike, M. C. (1966). A method of analysis of certain class of experiments in carcinogenesis. Biometrics, 22, 142-161.

Pillai, K. C. S. (1965). On the distribution of the largest characteristic root of a matrix in multivariate analysis. Biometrika, 52, 405-414.

Plackett, R. L., & Burman, J. P. (1946). The design of optimum multifactorial experiments. Biometrika, 34, 255-272.

Polya, G. (1920). Uber den zentralen Grenzwertsatz der Wahrscheinlichkeitsrechnung und das Momentenproblem. Mathematische Zeitschrift, 8, 171-181.

Porebski, O. R. (1966). Discriminatory and canonical analysis of technical college data. British Journal of Mathematical and Statistical Psychology, 19, 215-236.

Powell, M. J. D. (1964). An efficient method for finding the minimum of a function of several variables without calculating derivatives. Computer Journal, 7, 155-162.

Pregibon, D. (1997). Data Mining. AMSTAT News.

Pregibon, D. (1997). Data Mining. Statistical Computing and Graphics, 7, 8.

Prentice, R. (1973). Exponential survivals with censoring and explanatory variables. Biometrika, 60, 279-288.

Press, W. H., Flannery, B. P., Teukolsky, S. A., Vetterling, W. T. (1992). Numerical Recipes (2nd Edition). New York: Cambridge University Press.

Press, W.H., Teukolsky, S.A., Vetterling, W.T. and Flannery, B.P. (1992). Numerical Recipes in C: The Art of Scientific Computing (Second ed.). Cambridge University Press.

Press, William, H., Flannery, B. P., Teukolsky, S. A., Vetterling, W. T. (1986). Numerical recipes. New York: Cambridge University Press.

Priestley, M. B. (1981). Spectral analysis and time series. New York: Academic Press.

Pyzdek, T. (1989). What every engineer should know about quality control. New York: Marcel Dekker.

Pyzdek, T. (1999). Quality Engineering Handbook (Quality and Reliability, 57). New York: Marcel Dekker.

Pyzdek, T. (2000). The Handbook for Quality Management. New York: Quality Publishing.

Pyzdek, T. (2001). The Six Sigma handbook: A complete guide for greenbelts, blackbelts, and managers at all levels. New York: McGraw.