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MARC 21

Breakthroughs in Statistics: Methodology and Distribution /
Tag	Description
020	$a9781461243809$9978-1-4612-4380-9
082	$a519.5$223
099	$aOnline resource: Springer
245	$aBreakthroughs in Statistics$h[EBook] :$bMethodology and Distribution /$cedited by Samuel Kotz, Norman L. Johnson.
260	$aNew York, NY :$bSpringer New York,$c1992.
300	$a628 p.$bonline resource.
336	$atext$btxt$2rdacontent
337	$acomputer$bc$2rdamedia
338	$aonline resource$bcr$2rdacarrier
440	$aSpringer Series in Statistics, Perspectives in Statistics,$x0172-7397
505	$aOn the Criterion that a Given System of Deviations from the Probable in the Case of a Correlated System of Variables is Such that it Can be Reasonably Supposed to Have Arisen from Random Sampling -- The Probable Error of a Mean -- Statistical Methods for Research Workers -- The Arrangement of Field Experiments -- On the Empirical Determination of a Distribution -- On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection -- Relations Between Two Sets of Variates -- Individual Comparisons by Ranking Methods -- On Some Useful “Inefficient” Statistics -- Testing for Serial Correlation in Least Squares Regression. I -- Testing for Serial Correlation in Least Squares Regression. II -- On the Experimental Attainment of Optimum Conditions -- Nonparametric Estimation from Incomplete Observations -- Sequential Design of Experiments -- Some Statistical Aspects of Adaptive Optimization and Control -- The Future of Data Analysis -- Maximum Likelihood in Three-Way Contingency Tables -- Robust Estimation of a Location Parameter -- Regression Models and Life-Tables -- Generalized Linear Models -- Bootstrap Methods: Another Look at the Jackknife.
538	$aOnline access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
700	$aKotz, Samuel.$eeditor.
700	$aJohnson, Norman L.$eeditor.
710	$aSpringerLink (Online service)
830	$aSpringer Series in Statistics, Perspectives in Statistics,$x0172-7397
856	$uhttp://dx.doi.org/10.1007/978-1-4612-4380-9