Applied Statistics Using SPSS, STATISTICA and MATLAB - Tapa blanda

Sinopsis

1 Introduction.- 2 Presenting and Summarising the Data.- 3 Estimating Data Parameters.- 4 Parametric Tests of Hypotheses.- 5 Non-Parametric Tests of Hypotheses.- 6 Statistical Classification.- 7 Data Regression.- 8 Data Structure Analysis.- 9 Survival Analysis.- 10 Directional Data.- Appendix A - Short Survey on Probability Theory.- A.1 Basic Notions.- A.1.1 Events and Frequencies.- A.1.2 Probability Axioms.- A.2 Conditional Probability and Independence.- A.2.1 Conditional Probability and Intersection Rule.- A.2.2 Independent Events.- A.3 Compound Experiments.- A.4 Bayes' Theorem.- A.5 Random Variables and Distributions.- A.5.1 Definition of Random Variable.- A.5.2 Distribution and Density Functions.- A.5.3 Transformation of a Random Variable.- A.6 Expectation, Variance and Moments.- A.6.1 Definitions and Properties.- A.6.2 Moment-Generating Function.- A.6.3 Chebyshev Theorem.- A.7 The Binomial and Normal Distributions.- A.7.1 The Binomial Distribution.- A.7.2 The Laws of Large Numbers.- A.7.3 The Normal Distribution.- A.8 Multivariate Distributions.- A.8.1 Definitions.- A.8.2 Moments.- A.8.3 Conditional Densities and Independence.- A.8.4 Sums of Random Variables.- A.8.5 Central Limit Theorem.- Appendix B - Distributions.- B.1 Discrete Distributions.- B.1.1 Bernoulli Distribution.- B.1.2 Uniform Distribution.- B.1.3 Geometric Distribution.- B.1.4 Hypergeometric Distribution.- B.1.5 Binomial Distribution.- B.1.6 Multinomial Distribution.- B.1.7 Poisson Distribution.- B.2 Continuous Distributions.- B.2.1 Uniform Distribution.- B.2.2 Normal Distribution.- B.2.3 Exponential Distribution.- B.2.4 Weibull Distribution.- 6.2.5 Gamma Distribution.- B.2.6 Beta Distribution.- B.2.7 Chi-Square Distribution.- B.2.8 Student's t Distribution.- B.2.9 F Distribution.- B.2.10 Von Mises Distributions.- Appendix C - Point Estimation.- C.1 Definitions.- C.2 Estimation of Mean and Variance.- Appendix D - Tables.- D.1 Binomial Distribution.- D.2 Normal Distribution.- D.4 Chi-Square Distribution.- Appendix E - Datasets.- E.1 Breast Tissue.- E.2 Car Sale.- E.3 Cells.- E.4 Clays.- E.5 Cork Stoppers.- E.6 CTG.- E.7 Culture.- E.8 Fatigue.- E.9 FHR.- E.10 FHR-Apgar.- E.11 Firms.- E.12 Flow Rate.- E.13 Foetal Weight.- E.14 Forest Fires.- E.15 Freshmen.- E.16 Heart Valve.- E.17 Infarct.- E.18 Joints.- E.19 Metal Firms.- E.20 Meteo.- E.21 Moulds.- E.22 Neonatal.- E.23 Programming.- E.24 Rocks.- E.25 Signal & Noise.- E.26 Soil Pollution.- E.27 Stars.- E.28 Stock Exchange.- E.29 VCG.- E.30 Wave.- E.31 Weather.- E.32 Wines.- Appendix F - Tools.- F.1 MATLAB Functions.- F.2 Tools EXCEL File.- F.3 SCSIZE Program.- References.

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