MARC record from Internet Archive

LEADER: 06070cam 2200565Ma 4500
001 ocn648300240
003 OCoLC
005 20200622073810.0
008 050802s2006 maua ob 001 0 eng d
006 m o d
007 cr cn|||||||||
010 $z 2005053028
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020 $a9780123694638
020 $a0123694639
020 $z0123694639$q(alk. paper)
035 $a(OCoLC)648300240$z(OCoLC)643578836$z(OCoLC)889193208$z(OCoLC)961641961$z(OCoLC)962622080$z(OCoLC)966264549$z(OCoLC)984823890$z(OCoLC)988478403$z(OCoLC)992093376$z(OCoLC)1037707288$z(OCoLC)1038676587$z(OCoLC)1055356930$z(OCoLC)1081205860$z(OCoLC)1153504383
050 4 $aQA273.19.E4$bD44 2006eb
082 04 $a519.2$222
100 1 $aDeep, Ronald.
245 10 $aProbability and statistics with integrated software routines /$cRonald Deep.
260 $aBurlington, MA :$bAcademic Press,$c©2006.
300 $a1 online resource (xx, 686 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
504 $aIncludes bibliographical references (pages 679-680) and index.
588 0 $aPrint version record.
505 0 $aFront Cover; Probability and Statistics; Copyright Page; Table of Contents; Preface; Acknowledgments; Chapter 1. Introduction to Probability; 1.0 Introduction; 1.1 Interpretations of Probability; 1.2 Sets; 1.3 Probability Parlance; 1.4 Probability Theorems; 1.5 Conditional Probability and Independence; 1.6 Bayes's Rule; 1.7 Counting the Ways; 1.8 Summary; Chapter 2. Random Variables, Moments, and Distributions; 2.0 Introduction; 2.1 Random Variables; 2.2 Distributions; 2.3 Moments; 2.4 Standardized Random Variables; 2.5 Jointly Distributed Random Variables
505 8 $a2.6 Independence of Jointly Distributed Random Variables2.7 Covariance and Correlation; 2.8 Conditional Densities Functions; 2.9 Moment Generating Functions; 2.10 Transformation of Variables; 2.11 Summary; Chapter 3. Special Discrete Distributions; 3.0 Introduction; 3.1 Discrete Uniform; 3.2 Bernoulli Distribution; 3.3 Binomial Distribution; 3.4 Multinomial Distribution; 3.5 Hypergeometric Distribution; 3.6 Geometric Distribution; 3.7 Negative Binomial Distribution; 3.8 Poisson Distribution; 3.9 Summary; Chapter 4. Special Continuous Distributions; 4.0 Introduction
505 8 $a4.1 Continuous Uniform Distribution4.2 Gamma Function; 4.3 Gamma Family (Exponential, Chi-Square, Gamma); 4.4 Exponential Distribution; 4.5 Chi-Square Distribution; 4.6 Normal Distribution; 4.7 Student t Distribution; 4.8 Beta Distribution; 4.9 Weibull Distribution; 4.10 F Distribution; 4.11 Summary; Chapter 5. Sampling, Data Displays, Measures of Central Tendencies, Measures of Dispersion, and Simulation; 5.0 Introduction; 5.1 Data Displays; 5.2 Measures of Location; 5.3 Measures of Dispersion; 5.4 Joint Distribution of X-and S2; 5.5 Simulation of Random Variables
505 8 $a5.6 Using Monte Carlo for Integration5.7 Order Statistics; 5.8 Summary; Chapter 6. Point and Interval Estimation; 6.0 Introduction; 6.1 Unbiased Estimators and Point Estimates; 6.2 Methods of Finding Point Estimates; 6.3 Interval Estimates (Confidence Intervals); 6.4 Prediction Intervals; 6.5 Central Limit Theorem (Revisited); 6.6 Parametric Bootstrap Estimation; 6.7 Summary; Chapter 7. Hypothesis Testing; 7.0 Introduction; 7.1 Terminology in Statistical Tests of Hypotheses; 7.2 Hypothesis Tests: Means; 7.3 Hypothesis Tests: Proportions
505 8 $a7.4 Hypothesis Tests for Difference between Two Means: Small Samples (n < 30) a2 Known7.5 Hypothesis Test with Paired Samples; 7.6 Hypothesis Tests: Variances; 7.7 Hypothesis Tests for Independence, Homogeneity, and Goodness of Fit; 7.8 Summary; Chapter 8. Regression; 8.0 Introduction; 8.1 Review of Joint and Conditional Densities; 8.2 Simple Linear Regression; 8.3 Distribution of Estimators with Inference on Parameters; 8.4 Variation; 8.5 Residual Analysis; 8.6 Convertible Nonlinear Forms for Linear Regression; 8.7 Polynomial Regression; 8.8 Multiple Linear Regression
520 $aProbability & Statistics with Integrated Software Routines is a calculus-based treatment of probability concurrent with and integrated with statistics through interactive, tailored software applications designed to enhance the phenomena of probability and statistics. The software programs make the book unique.The book comes with a CD containing the interactive software leading to the Statistical Genie. The student can issue commands repeatedly while making parameter changes to observe the effects. Computer programming is an excellent skill for problem solvers, involving design,
650 0 $aProbabilities$xComputer simulation.
650 0 $aMathematical statistics$xComputer simulation.
650 7 $aMathematical statistics$xComputer simulation.$2fast$0(OCoLC)fst01012131
650 7 $aProbabilities$xComputer simulation.$2fast$0(OCoLC)fst01077739
655 4 $aElectronic books.
776 08 $iPrint version:$aDeep, Ronald.$tProbability and statistics with integrated software routines.$dBurlington, MA : Academic Press, ©2006$w(DLC) 2005053028
856 40 $3Dawsonera$uhttp://www.dawsonera.com/depp/reader/protected/external/AbstractView/S9780080480381
856 40 $3ebrary$uhttp://site.ebrary.com/id/10186013
856 40 $3ProQuest Ebook Central$uhttp://public.ebookcentral.proquest.com/choice/publicfullrecord.aspx?p=294324
856 40 $uhttp://ebookcentral.proquest.com/lib/ucreative-ebooks/detail.action?docID=294324$zConnect to Ebook.
938 $aebrary$bEBRY$nebr10186013
029 1 $aAU@$b000053003295
029 1 $aNZ1$b14540255
994 $aZ0$bP4A
948 $hNO HOLDINGS IN P4A - 73 OTHER HOLDINGS