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Experimental design, statistical models, and genetic statistics : essays in honor of Oscar Kempthorne
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An Introduction to Genetic Statistics
Elementary probability; Random mating populations; Elementary selection problems; The elementary stochastic theory of genetic populations; Inbreeding; The generation matrix theory of inbreeding; Tests of genetic hypotheses; The estimation of genetic parameters; The planning of experiments; Statistical problems in human genetics; The analysis of variation; The partition of variance; Multiple regression, correlation and adjustment of data, and path analysis; Inheritance of quantitative characters in a random mating population; Non-random mating deploid populations with one locus segregating; Correlation between relatives under inbreeding with one locus segregating; One-locus polyploid populations; Diploid populations with arbitrary number of segregating loci and arbitrary epistacy; Inbreeding with a arbitrary diploid population; Population derived from inbred lines; Infinitesimal equilibrium theory of assortative mating; Selection for quantitative characters.
Design and Analysis of Experiments, Volume 1
This user-friendly new edition reflects a modern and accessible approach to experimental design and analysis Design and Analysis of Experiments, Volume 1, Second Edition provides a general introduction to the philosophy, theory, and practice of designing scientific comparative experiments and also details the intricacies that are often encountered throughout the design and analysis processes. With the addition of extensive numerical examples and expanded treatment of key concepts, this book further addresses the needs of practitioners and successfully provides a solid understanding of the relationship between the quality of experimental design and the validity of conclusions. This Second Edi...
Design and Analysis of Experiments, Introduction to Experimental Design
Design and analysis of experiments/Hinkelmann.-v.1.
Experimental Design
Contributions to Iowa State University and Beyond; Design and analysis of experiments; Linear and non-linear models; Statistical and population genetics.
Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science
In May of 1973 we organized an international research colloquium on foundations of probability, statistics, and statistical theories of science at the University of Western Ontario. During the past four decades there have been striking formal advances in our understanding of logic, semantics and algebraic structure in probabilistic and statistical theories. These advances, which include the development of the relations between semantics and metamathematics, between logics and algebras and the algebraic-geometrical foundations of statistical theories (especially in the sciences), have led to striking new insights into the formal and conceptual structure of probability and statistical theory a...
An Introduction to Genetic Statistics
Elementary probability; Random mating populations; Elementary selection problems; The elementary stochastic theory of genetic populations; Inbreeding; The generation matrix theory of inbreeding; Tests of genetic hypotheses; The estimation of genetic parameters; The planning of experiments; Statistical problems in human genetics; The analysis of variation; The partition of variance; Multiple regression, correlation and adjustment of data, and path analysis; Inheritance of quantitative characters in a random mating population; Non-random mating deploid populations with one locus segregating; Correlation between relatives under inbreeding with one locus segregating; One-locus polyploid populations; Diploid populations with arbitrary number of segregating loci and arbitrary epistacy; Inbreeding with a arbitrary diploid population; Population derived from inbred lines; Infinitesimal equilibrium theory of assortative mating; Selection for quantitative characters.
Public Health Service Grants and Awards by the National Institutes of Health
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Selected Works of Debabrata Basu
This book contains a little more than 20 of Debabrata Basu's most significant articles and writings. Debabrata Basu is internationally known for his highly influential and fundamental contributions to the foundations of statistics, survey sampling, sufficiency, and invariance. The major theorem bearing his name has had numerous applications to statistics and probability. The articles in this volume are reprints of the original articles, in a chronological order. The book also contains eleven commentaries written by some of the most distinguished scholars in the area of foundations and statistical inference. These commentaries are by George Casella and V. Gopal, Phil Dawid, Tom DiCiccio and Alastair Young, Malay Ghosh, Jay kadane, Glen Meeden, Robert Serfling, Jayaram Sethuraman, Terry Speed, and Alan Welsh.
