000			05749nam a22005775i 4500
001			978-0-387-44956-2
003			DE-He213
005			20160302162041.0
007			cr nn 008mamaa
008			100301s2006 xxu| s |||| 0|eng d
020			_a9780387449562 _9978-0-387-44956-2
024	7		_a10.1007/978-0-387-44956-2 _2doi
050		4	_aQA273.A1-274.9
050		4	_aQA274-274.9
072		7	_aPBT _2bicssc
072		7	_aPBWL _2bicssc
072		7	_aMAT029000 _2bisacsh
082	0	4	_a519.2 _223
245	1	0	_aSelected Papers of Frederick Mosteller _h[electronic resource] / _cedited by Stephen E. Fienberg, David C. Hoaglin.
264		1	_aNew York, NY : _bSpringer New York, _c2006.
300			_aX, 660 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringer Series in Statistics, _x0172-7397
505	0		_aFrederick Mosteller—A Brief Biography -- Unbiased Estimates for Certain Binomial Sampling Problems with Applications -- On Some Useful “Inefficient” Statistics -- A k-Sample Slippage Test for an Extreme Population -- The Uses and Usefulness of Binomial Probability Paper -- The Education of a Scientific Generalist -- Remarks on the Method of Paired Comparisons: I. The Least Squares Solution Assuming Equal Standard Deviations and Equal Correlations -- Remarks on the Method of Paired Comparisons: II. The Effect of an Aberrant Standard Deviation When Equal Standard Deviations and Equal Correlations Are Assumed -- Remarks on the Method of Paired Comparisons: III. A Test of Significance for Paired Comparisons when Equal Standard Deviations and Equal Correlations Are Assumed -- An Experimental Measurement of Utility -- A Mathematical Model for Simple Learning -- A Model for Stimulus Generalization and Discrimination -- The World Series Competition -- Principles of Sampling -- Stochastic Models for the Learning Process -- Factorial 1/2: A Simple Graphical Treatment -- A Comparison of Eight Models -- Optimal Length of Play for a Binomial Game -- Tables of the Freeman-Tukey Transformations for the Binomial and Poisson Distributions -- Understanding the Birthday Problem -- Recognizing the Maximum of a Sequence -- The Distribution of Sums of Rounded Percentages -- The Expected Coverage to the Left of the ith Order Statistic for Arbitrary Distributions -- Bias and Runs in Dice Throwing and Recording: A Few Million Throws -- An Empirical Study of the Distribution of Primes and Litters of Primes -- A Conversation About Collins -- Statistics and Ethics in Surgery and Anesthesia -- Experimentation and Innovations -- New Statistical Methods in Public Policy. Part I: Experimentation -- Classroom and Platform Performance -- The Clinician’s Responsibility for Helping to Improve the Treatment of Tomorrow’s Patients -- Innovation and Evaluation -- Combination of Results of Stated Precision: I. The Optimistic Case -- Combination of Results of Stated Precision: II. A More Realistic Case -- Allocating Loss of Precision in the Sample Mean to Wrong Weights and Redundancy in Sampling with Replacement from a Finite Population -- Reporting Clinical Trials in General Surgical Journals -- Compensating for Radiation-Related Cancers by Probability of Causation or Assigned Shares -- Methods for Studying Coincidences -- A Modified Random-Effect Procedure for Combining Risk Difference in Sets of 2 × 2 Tables from Clinical Trials -- The Case for Smaller Classes and for Evaluating What Works in the Schoolroom -- Frederick Mosteller and John W. Tukey: A Conversation.
520			_aFrederick Mosteller has inspired numerous statisticians and other scientists by his creative approach to statistics and its applications. This volume brings together 40 of his most original and influential papers, capturing the variety and depth of his writings. The editors hope to share these with a new generation of researchers, so that they can build upon his insights and efforts. This volume of selected papers is a companion to the earlier volume A Statistical Model: Frederick Mosteller's Contributions to Statistics, Science, and Public Policy, edited by Stephen E. Fienberg, David C. Hoaglin, William H. Kruskal, and Judith M. Tanur (Springer-Verlag, 1990), and to Mosteller's forthcoming autobiography, which will also be published by Springer-Verlag. It includes a biography and a comprehensive bibliography of Mosteller's books, papers, and other writings. Stephen E. Fienberg is Maurice Falk University Professor of Statistics and Social Science, in the Departments of Statistics and Machine Learning at Carnegie Mellon University, Pittsburgh, PA. David C. Hoaglin is Principal Scientist at Abt Associates Inc., Cambridge, MA.
650		0	_aMathematics.
650		0	_aPublic health.
650		0	_aProbabilities.
650		0	_aAssessment.
650		0	_aStatistics.
650		0	_aEconometrics.
650	1	4	_aMathematics.
650	2	4	_aProbability Theory and Stochastic Processes.
650	2	4	_aPublic Health.
650	2	4	_aAssessment, Testing and Evaluation.
650	2	4	_aStatistical Theory and Methods.
650	2	4	_aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
650	2	4	_aEconometrics.
700	1		_aFienberg, Stephen E. _eeditor.
700	1		_aHoaglin, David C. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387202716
830		0	_aSpringer Series in Statistics, _x0172-7397
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-44956-2
912			_aZDB-2-SMA
999			_c175431 _d175431