Paperback. Pub Date: 2012 07 Pages: 891 Language: English in Publisher: Machinery Industry Press this universally recognized classical probability theory and mathematical statistics textbooks for decades sold briskly. adopted by many schools. including Carnegie - Mellon University. Harvard University. Massachusetts Institute of Technology. the University of Washington. University of Chicago. Cornell University. Duke University. University of California. Los Angeles. Huazhang the statistically the original boutique series: Probability and Statistics (English version 4) including probability theory. mathematical statistics in two parts. content-rich and complete the appropriate selection of some of the chapters can be used as a one-year probability theory and mathematical statistics courses textbooks. textbooks can also be used as a semester of probability theory and stochasti...

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**Book Description **paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2012-07-01 Pages: 891 Publisher: Machinery Industry Press title: Probability and Statistics (4th edition of the English version) (classical probability theory and mathematical statistics textbook for many years sold briskly. CMU. Harvard and many other schools using) List Price: 139.00 yuan of: (U.S.) DeGroot (DeGroot. MH). (). Schervish (Schervish. MJ) Publisher: Machinery Industry Publishing Date: 2012 -7-1ISBN: 9787111387756 Words: Pages: 891 Edition: 1 Binding: Paperback: 16 Weight: Editor's Choice Huazhang the statistically the original boutique series: Probability and Statistics (English version 4) Features: narrative lucid. vivid language fluency. The authors used the introduction of a large number of examples of the provocative thesis to explain the theory and prove. Examples covers a wide range. in addition to explain some well-known examples of the basic concepts. there are many innovative examples describe the theory of probability calculated in genetics. queuing theory. finance and computer science. content drawn more stylish novel. The new version not only rewrite many chapters also increasingly important in the computer science Chernoff sector. as well as the method of moments. Newton method. EM algorithm. pivot amount likelihood ratio test large sample distribution of knowledge. the current research front of some of the issues in layman's language into the textbooks. Instructor provided free of charge the teachers Solutions Manual (Instructor'sSolutionsManual). Book after the catch for the answer to the odd-numbered exercises. Summary universally acknowledged classic probability theory and mathematical statistics textbook for decades sold briskly adopted by many schools. including Carnegie - Mellon University. Harvard University. Massachusetts Institute of Technology. the University of Washington. University of Chicago. Cornell University. Duke University. University of California. Los Angeles. Huazhang the statistically the original boutique series: Probability and Statistics (English version 4) including probability theory. mathematical statistics in two parts. content-rich and complete the appropriate selection of some of the chapters can be used as a one-year probability theory and mathematical statistics courses textbooks. textbooks can also be used as a semester of probability theory and stochastic processes. Suitable for mathematics. statistics. economics. and other professional and higher grades with undergraduate and graduate students. the available statistical staff also used as a reference. Catalog introduction to probability expressed 1.1 the history of probability 1.2 interpretatio of probability expressed 1.3 experiments and events 1.4 for set set theory 1.5 the definition of probability 1.6 finite sample spaces 1.7 counting methods 1.8 combinatorial methods 1.9 Multinomial Logical coefficients for most sub 1.10 the a probability expressed of a union of events 1.11 statistical swindles 1.12 supplementary exercises2 conditional probability 2.1 the definition of conditional probability 2.2 independent events 2.3 bayes' theorem 2.4 the gambler's ruin problem 2.5 supplementary exercises3 random variables and distributio 3.1 random variables and discrete distributio 3.2 continuous distributio 3.3 the cumulative distribution function 3.4 bivariate distributio 3.5 marginal distributio 3.6 conditional distributio 3.7 multivariate distributio 3.8 functio of a random variable 3.9 functio of two or more random variables 3.10 markov chai 3.11 supplementary exercises4 expectation 4.1 the expectation of a random variable 4.2 properties of expectatio 4.3 variance 4.4 moments 4.5 the mean and the median 4.6 covariance and correlation 4.7 conditional expectation 4.8 utility 4.9 supplementary exercises5 special distributio 5.1 introduction 5.2 the bernoulli and binomial distributio 5.3 the hyp. Seller Inventory # FT058190

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**Book Description **paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: 2012 Pages: 891 Publisher: Machinery Industry Press title: Probability and Statistics (English Edition) List Price: 139.00 yuan Author: Morris H. DeGroot Publisher: Machinery Industry Press Publication Date: 2012 July 4 ISBN: 9787111387756 Words: Page: 891 Edition: 1 Binding: Paperback: Weight: 1.6 Kg Editor's Choice American Morris H.DeGroot. Mark J.Schervish ed Probability and Statistics. including probability theory The two parts of mathematical statistics. content-rich and complete the appropriate selection of some of the chapters can be used as the school year probability theory and mathematical statistics course materials can also be used as a semester of probability theory and stochastic processes materials. Suitable for mathematics. statistics. economics. and other professional and higher grades with undergraduate and graduate students. the available statistical staff also used as a reference. The Abstract American Morris H.DeGroot Mark J.Schervish compiled Probability and Statistics including probability theory. mathematical statistics in two parts. content-rich and full. proper selection of some of the chapters can be used as school year probability theory and mathematical statistics course teaching materials. textbooks can also be used as a semester of probability theory and stochastic processes. Suitable for mathematics. statistics. economics. and other professional and higher grades with undergraduate and graduate students. the available statistical staff also used as a reference. Catalog introduction to probability 1 1.1 the history of probability expressed 1.2 interpretations of probability the definition of probability expressed 16 1.6 2 1.3 experiments and events 1.4 for set set theory 6 1.5 finite sample spaces 1.7 counting methods 25 22 1.8 42 32 1.9 Multinomial Logical combinatorial methods coefficients for most sub 1.10 the probability of a union of events 46 1.11 statistical swindles 51 1.12 supplementary exercises 53 2 conditional probability 55 2.1 the definition of conditional probability 55 2.2 independent events 66 2.3 bayes' theorem 76 2.4 the gambler's ruin problem 86 2.5 supplementary exercises 90 3 random variables and distributions 93 3.1 random variables and discrete distributions 93 3.2 continuous distributions 100 3.3 the cumulative distribution function 107 3.4 bivariate distributions 118 3.5 marginal distributions 130 3.6 conditional distributions 141 3.7 multivariate distributions 152 3.8 functions of a random variable 167 3.9 functions of two or more random variables 175 3.10 markov chains 188 3.11 supplementary exercises 202 4 expectation 207 4.1 the expectation of a random variable 207 4.2 properties of expectations 217 4.3 variance 225 4.4 moments 234 4.5 the mean and the median 241 4.6 covariance and correlation 248 4.7 conditional expectation 256 4.8 utility 265 4.9 supplementary exercises 272 5 special distributions 275 5.1 introduction 275 5.2 the bernoulli and binomial distributions 275 5.3 the hypergeometric distributions 281 5.4 the poisson distributions 287 5.5 the negative binomial distributions 297 5.6 the normal distributions 302 5.7 the gamma distributions 316 5.8 the beta distributions 327 5.9 the multinomial distributions 333 5.10 the bivariate normal distributions 337 5.11 supplementary exercises 345 6 large random samples 347 6.1 introduction 347 6.2 the law of large numbers 348 6.3 the central limit theorem 360 6.4 the correction for continuity 371 6.5 supplementary exercises 375 7 estimation 376 7.1 statistical inference 376 7.2 prior and posterior distributions 385 7.3 conjugate prior distributions 394 7.4 bayes estimators 408 7.5 maximum likelihood estimators 417 7.6 properties of maximum likelihood estimators 426 7.7 sufficient statistics 443 7.8 jointly sufficient statistics 449 7.9 improving an estimator 455 7.10 supplementary exercises 461. Seller Inventory # FR025482

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**Book Description **paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2012-07-04 Pages: 891 Publisher: Machinery Industry Press title: Probability and Statistics (English Edition) List Price: 139.00 yuan Author: Morris H. DeGroot Press: Mechanical Industry Press Publication Date: July 4. 2012 ISBN: 9787111387756 words: Pages: 891 Edition: 1st Edition Binding: Paperback: Weight: 1.6 Kg Editor's Choice American Morris H.DeGroot. Mark J.Schervish compiled with the Probability and Statistics including the two parts of the probability theory. mathematical statistics. content-rich complete. proper selection of some of the chapters can be used as a school year. probability theory and mathematical statistics course materials. textbooks or as one semester of probability theory and stochastic processes. Suitable for mathematics. statistics. economics. and other professional and higher grades with undergraduate and graduate students. the available statistical staff also used as a reference. Summary Original edition. Entitled. PROBABILITY. AND STATISTICS 4E 9.780.321.500.465 by DEGROOT. MORRIS H.; SCHERVISH. MARK J. Published by Pearson Education Inc. publishing as Pearson. Copyright 2012. 2002 All rights reserved No part of this book may be re catalog introduction to probability 1 1.1 the history of probability expressed 1.2 interpretations of probability the definition of probability expressed 16 1.6 2 1.3 experiments and events 1.4 for set set theory 6 1.5 finite sample spaces 22 1.7 1.8 counting methods 25 combinatorial methods 32 1.9 multinomial coefficients 42 1.10 the probability of a union of events 46 1.11 statistical swindles 51 1.12 supplementary exercises 53 2 conditional probability 55 2.1 the definition of conditional probability 55 2.2 independent events 66 2.3 bayes' theorem 76 2.4 the gambler's ruin problem 86 2.5 supplementary exercises 90 3 random variables and distributions 93 3.1 random variables and discrete distributions 93 3.2 continuous distributions 100 3.3 the cumulative distribution function 107 3.4 bivariate distributions 118 3.5 marginal distributions 130 3.6 conditional distributions 141 3.7 multivariate distributions 152 3.8 functions of a random variable 167 3.9 functions of two or more random variables 175 3.10 markov chains 188 3.11 supplementary exercises 202 4 expectation 207 4.1 the expectation of a random variable 207 4.2 properties of expectations 217 4.3 variance 225 4.4 moments 234 4.5 the mean and the median 241 4.6 covariance and correlation 248 4.7 conditional expectation 256 4.8 utility 265 4.9 supplementary exercises 272 5 special distributions 275 5.1 introduction 275 5.2 the bernoulli and binomial distributions 275 5.3 the hypergeometric distributions 281 5.4 the poisson distributions 287 5.5 the negative binomial distributions 297 5.6 the normal distributions 302 5.7 the gamma distributions 316 5.8 the beta distributions 327 5.9 the multinomial distributions 333 5.10 the bivariate normal distributions 337 5.11 supplementary exercises 345 6 large random samples 347 6.1 introduction 347 6.2 the law of large numbers 348 6.3 the central limit theorem 360 6.4 the correction for continuity 371 6.5 supplementary exercises 375 7 estimation 376 7.1 statistical inference 376 7.2 prior and posterior distributions 385 7.3 conjugate prior distributions 394 7.4 bayes estimators 408 7.5 maximum likelihood estimators 417 7.6 properties of maximum likelihood estimators 426 7.7 sufficient statistics 443 7.8 jointly sufficient statistics 449 7.9 improving an estimator 455 7.10 supplementary exercises 461 8 sampling distributions of estimators 464 8.1 the sampling distribution of a statistic 464 8.2 the chi-square distributions 469 8.3 joint distribution of the sample mean and sample variance 473 8.4 the t distributions 480 8.5 confidence intervals 485 8.6 bayesian analysis of samples from a normal distribution 495 8.7 unbiased estimators 506 8.8 fisher. Seller Inventory # FT068143

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**Book Description **paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2012-07-01 Publisher: Machinery Industry Press [title] probability statistics: English version [Press Machinery Industry Press. MorrisH.DeGroot. MarkJ.Schervish with [ISBN] 9787111387756 [Original] 139 & nbsp Publication Date 2012-07-01 00:00:00 Printing date] 2012-07-01 00:00:00 [binding] Paperback [Folio] [word count] [Pages] 0 [ Edition] 1 [the printing times] Description Original edition entitled. PROBABILITY. and Statistics. 4E 9780321500465 by DEGROOT. MORRIS H.; SCHERVISH. MARK J. published by Pearson Education Inc. publishing as Pearson. Copyright 2012. 2002 All rights reserved No part of this book may be re Author library catalog DigestFour Satisfaction guaranteed,or money back. Seller Inventory # FV054855

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**Book Description **paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: Unknown in Publisher: Machinery Industry Press List Price: 139.00 yuan Author: Publisher: China Machine Press ISBN: 9787111387756 Page: Revision: Binding: Folio: Published :2012 -7-1 printing time: Words: Goods ID: 22805031 Description This universally recognized classic probability theory and mathematical statistics textbook. decades sold briskly. adopted by many schools. including Carnegie - Mellon University. Harvard University. Massachusetts Institute of Technology University of Washington. University of Chicago. Cornell University. Duke University. University of California. Los Angeles. Huazhang the statistically the original boutique series: Probability and Statistics (English version 4) including probability theory. mathematical statistics in two parts. content-rich and complete the appropriate selection of some of the chapters can be used as a one-year probability theory and mathematical statistics courses textbooks. textbooks can also be used as a semester of probability theory and stochastic processes. Suitable for mathematics. statistics. economics. and other professional and higher grades with undergraduate and graduate students. the available statistical staff also used as a reference. About the author MorrisH.DeGroot (1931-1989). a world-renowned statistician. Before his death was the International Statistical Institute. a Fellow of the American Association for the Advancement of Science (AAAS). the Statistical Society. Institute of Mathematical Statistics. Econometric Society. Carnegie Mellon University professor. joined the school in 1957. the Department of Statistics of the school founded in 1966. DeGroot academically very active and productive. has published more than 100 papers. also the author of the OptimalStatisOcal Decisions and of Statistics and theLawo is to commemorate the contribution of his writings on the teaching of statistics. international Bayesian analysis learn to set up a special DeGroot Awards recognize Excellent statistically writings. Fellow MarkJ.Schervish. world-renowned statistician. American Statistical Association. Institute of Mathematical Statistics. Doctorate of the University of Illinois in 1979. after the Department of Statistics at Carnegie Mellon University. professor of mathematics. probability. statistics. and computational finance courses. and is now the Head of the Department. Schervish is very active in the academic. has yielded fruitful results. but also because a cornerstone of statistical inference and Bayesian statistics is known. in addition to this book. he also TheoryofStatistics Rethinking the Foundations of Statistics. Catalog introduction to probability expressed 1.1 the history of probability 1.2 interpretatio of probability expressed 1.3 experiments and events 1.4 for set set theory 1.5 the definition of probability 1.6 finite sample spaces 1.7 counting methods 1.8 combinatorial methods 1.9 Multinomial Logical coefficients for most sub 1.10 the a probability expressed of a union of events 1.11 statistical swindles 1.12 supplementary exercises2 conditional probability 2.1 the definition of conditional probability 2.2 independent events 2.3 bayes' theorem 2.4 the gambler's ruin problem 2.5 supplementary exercises3 random variables and distributio 3.1 random variables and discrete distributio 3.2 continuous distributio 3.3 the cumulative distribution function 3.4 bivariate distributio 3.5 marginal distributio 3.6 conditional distributio 3.7 multivariate distributio 3.8 functio of a random variable 3.9 functio of two or more random variables 3.10 markov chai 3.11 supplementary exercises4 expectation 4.1 the expectation of a random variable 4.2 properties of expectatio 4.3 variance 4.4 moments 4.5 the mean and the median 4.6 covariance and correlation 4.7 conditional expectation 4.8 utility 4.9 supplementary exercises5 special distributio 5.1. Seller Inventory # FW036007

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**Book Description **paperback. Condition: New. Paperback. Pub Date: 2012 07 Pages: 891 Language: English in Publisher: Machinery Industry Press this universally recognized classical probability theory and mathematical statistics textbooks for decades sold briskly. adopted by many schools. including Carnegie - Mellon University. Harvard University. Massachusetts Institute of Technology. the University of Washington. University of Chicago. Cornell University. Duke University. University of California. Los Angeles. Huazhang the statistically. Seller Inventory # CC063378