Background
Alvin C. Rencher was born on December 21, 1934, in St. Johns, Arizona, United States.
Provo, UT 84602, United States
In 1959 Alvin C. Rencher received a Bachelor of Arts degree from Brigham Young University. In 1962 he obtained a Master of Arts degree from this university.
Blacksburg, VA 24061, United States
In 1968 Alvin C. Rencher gained a Doctor of Philosophy degree from Virginia Polytechnic Institute.
(Filled with new and timely content, Methods of Multivaria...)
Filled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data sets from a wide variety of scientific fields. It takes a "methods" approach to the subject, placing an emphasis on how students and practitioners can employ multivariate analysis in real-life situations.
https://www.amazon.com/Methods-Multivariate-Analysis-Alvin-Rencher/dp/0470178965/ref=sr_1_1?dchild=1&keywords=Methods+of+Multivariate+Analysis&qid=1604408875&s=books&sr=1-1
1995
(Multivariate Statistical Inference and Applications is a ...)
Multivariate Statistical Inference and Applications is a user-friendly introduction to basic multivariate analysis theory and practice for statistics majors as well as nonmajors with little or no background in theoretical statistics.
https://www.amazon.com/Multivariate-Statistical-Inference-Applications-Rencher/dp/0471571512/ref=sr_1_3?dchild=1&keywords=Multivariate+Statistical+Inference+and+Applications&qid=1604409100&s=books&sr=1-3
1998
(Since most advanced statistical tools are generalizations...)
Since most advanced statistical tools are generalizations of the linear model, it is necessary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed.
https://www.amazon.com/Linear-Models-Statistics-Alvin-Rencher/dp/0471754986/ref=sr_1_1?dchild=1&keywords=Linear+Models+in+Statistics&qid=1604409573&s=books&sr=1-1
2000
Alvin C. Rencher was born on December 21, 1934, in St. Johns, Arizona, United States.
In 1959 Alvin C. Rencher received a Bachelor of Arts degree from Brigham Young University. In 1962 he obtained a Master of Arts degree from this university. In 1968 Rencher gained a Doctor of Philosophy degree from Virginia Polytechnic Institute.
From 1959 to 1961 Alvin C. Rencher was a teaching assistant at Brigham Young University. Then he worked as an instructor of mathematics from 1963 to 1965, an instructor from 1965 to 1966, then an assistant professor from 1968 to 1972, an associate professor from 1972 to 1977. From 1977 to 2000 he served as a professor of statistics there, a department chairman from 1980 to 1985, an associate dean from 1985 to 1992. From 1961 to 1963 Rencher worked as a statistician for Hercules, Inc. and for Kennecott Copper Corporation in 1969.
Rencher has authored Methods of Multivariate Analysis (1995), Multivariate Statistical Inference and Applications (1998), Linear Models in Statistics (2000). He is a contributor to numerous publications, including the Journal of the Acoustic Society of America, Phonetica, International Journal of the Sociology of Language, and Journal of Occupational Medicine.
(Multivariate Statistical Inference and Applications is a ...)
1998(Filled with new and timely content, Methods of Multivaria...)
1995(Since most advanced statistical tools are generalizations...)
2000Alvin C. Rencher is a fellow of the American Statistical Association.
On June 22, 1962, Alvin C. Rencher married LaRue Drechsel. They have three children: David, Michael, and Ashley.