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200 10$aBasic concepts of probability and statistics /$fJ.L. Hodges, Jr., E.L. Lehmann
210   $aPhiladelphia, Pa. $cSociety for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)$d2005
215   $a1 electronic text (xix, 441 p. : ill.) $cdigital file
225 1 $aClassics in applied mathematics ;$v48
300   $aOriginally published: 2nd ed. San Francisco : Holden-Day, 1970, in series: Holden-Day series in probability and statistics.
311 08$a0-89871-575-X 
320   $aIncludes bibliographical references and indexes.
327   $aProbability models -- Sampling -- Product models -- Conditional probability -- Random variables -- Special distributions -- Multivariate distributions -- Estimation -- Estimation in measurement and sampling models -- Optimum methods of estimation -- Tests of significance -- Tests for comparative experiments -- Concept of power.
330 3 $aBasic Concepts of Probability and Statistics provides a mathematically rigorous introduction to the fundamental ideas of modern statistics for readers without a calculus background. It is the only book at this level to introduce readers to modern concepts of hypothesis testing and estimation, covering basic concepts of finite, discrete models of probability and elementary statistical methods. Although published in 1970, it maintains a modern outlook, especially in its emphasis on models and model building and also by its coverage of topics such as simple random and stratified survey sampling, experimental design, and nonparametric tests and its discussion of power. The book covers a wide range of applications in manufacturing, biology, and social science, including demographics, political science, and sociology. Among the topics covered that readers may not expect in an elementary text are optimal design and a statement and proof of the fundamental (Neyman-Pearson) lemma for hypothesis testing. Audience: intended for high school and undergraduate students as well as others who want a mathematically rigorous introduction to probability and statistics that does not require calculus. It can supplement high school and college courses on discrete mathematics and will appeal especially to instructors teaching statistics courses within mathematics departments.
410  0$aClassics in applied mathematics ;$v48.
606   $aProbabilities
606   $aMathematical statistics
615  0$aProbabilities.
615  0$aMathematical statistics.
676   $a519.2
700   $aHodges$b J. L$g(Joseph Lawson),$f1922-$0120257
701   $aLehmann$b E. L$g(Erich Leo),$f1917-$028111
712 02$aSociety for Industrial and Applied Mathematics.
801  0$bCaBNVSL
801  1$bCaBNVSL
801  2$bCaBNVSL
906   $aBOOK
912   $a9911006789903321
996   $aBasic concepts of probability and statistics$9456957
997   $aUNINA