Introduction to Statistical Decision Theory by R Ott

Introduction to Statistical Decision Theory by R Ott

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Introduction to Statistical Decision Theory by R Ott

The Making of Modern Law: U.S. Supreme Court Records and Briefs, 1832-1978 contains the world's most comprehensive collection of records and briefs brought before the nation's highest court by leading legal practitioners - many who later became judges and associates of the court. It includes transcripts, applications for review, motions, petitions, supplements and other official papers of the most-studied and talked-about cases, including many that resulted in landmark decisions. This collection serves the needs of students and researchers in American legal history, politics, society and government, as well as practicing attorneys. This book contains copies of all known US Supreme Court filings related to this case including any transcripts of record, briefs, petitions, motions, jurisdictional statements, and memorandum filed. This book does not contain the Court's opinion. The below data was compiled from various identification fields in the bibliographic record of this title. This data is provided as an additional tool in helping ensure edition identification:
Vlahakis (Peter J.) v. Schostak (Abraham W.)
Petition / PETER J VLAHAKIS / 1972 / 72-209 / 409 U.S. 916 / 93 S.Ct. 237 / 34 L.Ed.2d 177 / 8-4-1972
Ott, R. Lyman: - Lyman Ott earned his Bachelor's degree in Mathematics and Education and Master's degree in Mathematics from Bucknell University, and Ph.D in Statistics from the Virginia Polytechnic Institute. After two years working in statistics in the pharmaceutical industry, Dr. Ott became assistant professor in the Statistic Department at the University of Florida in 1968 and was named associate professor in 1972. He joined Merrell-National laboratories in 1975 as head of the Biostatistics Department and then head of the company's Research Data Center. He later became director of Biomedical Information Systems, Vice President of Global Systems and Quality Improvement in Research and Development, and Senior Vice President Business Process Improvement and Biometrics. He retired from the pharmaceutical industry in 1998, and now serves as consultant and Board of Advisors member for Abundance Technologies, Inc. Dr. Ott has published extensively in scientific journals and authored or co-authored seven college textbooks including Basic Statistical Ideas for Managers, Statistics: A Tool for the Social Sciences and An Introduction to Statistical Methods and Data Analysis. He has been a member of the Industrial Research Institute, the Drug Information Association and the Biometrics Society. In addition, he is a Fellow of the American Statistical Association and received the Biostatistics Career Achievement Award from the Pharmaceutical research and Manufacturers of America in 1998. He was also an All-American soccer player in college and is a member of the Bucknell University Athletic Hall of Fame.
SKU Unavailable
ISBN 13 9780534371234
ISBN 10 053437123X
Title Introduction to Statistical Decision Theory
Author Micheal Longnecker
Condition Unavailable
Binding Type Paperback
Publisher Duxbury Press
Year published 2002-03-01
Number of pages 208
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note Unavailable