Robust Regression Analysis and Applications
Experimental Design in Biotechnology
Nonlinear Lp-Norm Estimation
Random Processes A First Look, Second Edition,
Linear Least Squares Computations
Lognormal Distributions Theory and Applications
By Kenneth D. Lawrence
December 11, 1989
Robust Regression: Analysis and Applications characterizes robust estimators in terms of how much they weigh. Each observation discusses generalized properties of LP-estimators. It includes an algorithm for identifying outliers using least absolute value criterion, in regression modelling reviews ...
Edited By Karl E. Peace
December 11, 1989
This book is a compilation of topics addressed by the ASA Biopharmaceutical Section work groups, including the etiology and evolution of the work groups, the work group guidelines and structure, and the statistical issues associated with clinical trials in clinical drug development programs....
By Perry D. Haaland
August 31, 1989
This book provides the first time user of statistics with an understanding of how and why statistical experimental design and analysis can be an effective problem solving tool. It presents experimental designs which are useful for small screening and response surface experiments....
By Rene Gonin
February 10, 1989
Complete with valuable FORTRAN programs that help solve nondifferentiable nonlinear LtandLo.-norm estimation problems, this important reference/text extensively delineates ahistory of Lp-norm estimation. It examines the nonlinear Lp-norm estimation problem that isa viable alternative to least ...
By Dale S. Borowiak
February 07, 1989
Borowiak (math, U. of Akron) discusses model discrimination based upon incorrect selection probability, presents diagnostic statistics and formal hypothesis test procedures to assess a model's fit and stability, explains the use of computer computations such as the jackknife and bootstrap, and demon...
December 22, 1988
This book develops appreciation of the ingenuity involved in the mathematical treatment of random phenomena, and of the power of the mathematical methods employed in the solution of applied problems. It is intended to students interested in applications of probability to their disciplines....
By Raj Chhikara, J. Leroy Folks
September 29, 1988
This monograph is a compilation of research on the inverse Gaussian distribution. It emphasizes the presentation of the statistical properties, methods, and applications of the two-parameter inverse Gaussian family of distribution. It is useful to statisticians and users of statistical distribution....
September 13, 1988
Offers an applications-oriented treatment of parameter estimation from both complete and censored samples; contains notations, simplified formats for estimates, graphical techniques, and numerous tables and charts allowing users to calculate estimates and analyze sample data quickly and easily. Anno...
April 29, 1988
This book provides an overview of the commonly used statistical methodology. It is intended to enable professionals such as medical doctors, engineers, business executives, laboratory technicians, school teachers, and others to understand the basics of statistical thought through self study....
February 19, 1988
Presenting numerous algorithms in a simple algebraic form so that the reader can easilytranslate them into any computer language, this volume gives details of several methodsfor obtaining accurate least squares estimates. It explains how these estimates may beupdated as new information becomes ...
Edited By Edwin L. Crow, Kunio Shimizu
December 29, 1987
Presenting the first comprehensive review of the subject's theory and applications inmore than 15 years, this outstanding reference encompasses the most-up-to-date advances in lognormal distributions in thorough, detailed contributions by specialists in statistics, business and economics, industry,...
By R. E. Odeh
November 24, 1987
This book is an extension of some tables from Odeh and Owen, Volume 32 of the Marcel Dekker, Inc., series Statistics: Textbooks and Monographs. The need for these tables was pointed out to us by Dr. James M. Maynard, who worked with the Parts Per Million Subcommittee....