LEADER 05333nam 22006494a 450 001 9910458630303321 005 20200520144314.0 010 $a1-281-05054-7 010 $a9786611050542 010 $a0-08-048038-1 035 $a(CKB)1000000000364149 035 $a(EBL)294324 035 $a(OCoLC)437181513 035 $a(SSID)ssj0000227867 035 $a(PQKBManifestationID)11201045 035 $a(PQKBTitleCode)TC0000227867 035 $a(PQKBWorkID)10269421 035 $a(PQKB)10719029 035 $a(MiAaPQ)EBC294324 035 $a(PPN)170240037 035 $a(Au-PeEL)EBL294324 035 $a(CaPaEBR)ebr10186013 035 $a(CaONFJC)MIL105054 035 $a(EXLCZ)991000000000364149 100 $a20050802d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aProbability and statistics with integrated software routines$b[electronic resource] /$fRonald Deep 210 $aBurlington, MA $cAcademic Press$dc2006 215 $a1 online resource (707 p.) 300 $aDescription based upon print version of record. 311 $a0-12-369463-9 320 $aIncludes bibliographical references (p.679-680) and index. 327 $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 327 $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 327 $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 327 $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 327 $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 327 $a8.9 Multiple Regression Techniques 330 $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, 606 $aProbabilities$xComputer simulation 606 $aMathematical statistics$xComputer simulation 608 $aElectronic books. 615 0$aProbabilities$xComputer simulation. 615 0$aMathematical statistics$xComputer simulation. 676 $a519.2 700 $aDeep$b Ronald$0935925 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910458630303321 996 $aProbability and statistics with integrated software routines$92108296 997 $aUNINA