Applied Statistics Using SPSS, STATISTICA and MATLAB: Using Spss, Statistica and MatlabAimed at students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB and STATISTICA, this text provides a comprehensive coverage of the main statistical analysis topics important for practical applications such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The relevant notions and methods are explained concisely, illustrated with practical examples using real data, presented with the distinct intention of clarifying sensible practical issues. The solutions presented in the examples are obtained with one of the software packages in a pedagogical way. It provides guidance on how to use SPSS, MATALB and STATISTICA in statistical analysis applications without having to delve in the manuals. The accompanying CD-Rom includes several specific software tools for the topics described in the book, including a set of MATLAB functions for directional statistics as well as the data sets used in the examples and exercises covering a broad spectrum of areas from engineering, medicine, biology, psychology, economy, geology, and astronomy. |
Contents
1 | 1 |
1 | 8 |
1 | 14 |
Presenting and Summarising the Data | 21 |
2 | 28 |
3 | 45 |
Exercises | 55 |
Exercises | 83 |
Normal Distribution | 415 |
Students t Distribution | 416 |
ChiSquare Distribution | 417 |
Critical Values for the F Distribution | 418 |
Appendix E Datasets | 419 |
Cells | 420 |
Cork Stoppers | 421 |
CTG | 422 |
Exercises | 137 |
Exercises | 186 |
Exercises | 233 |
Exercises | 281 |
Data Structure Analysis | 283 |
Exercises | 302 |
Exercises | 324 |
Appendix A Short Survey on Probability Theory | 353 |
Bayes Theorem | 359 |
Multivariate Distributions | 372 |
Appendix B Distributions | 381 |
Continuous Distributions | 389 |
8 Students t Distribution | 399 |
9 F Distribution | 401 |
10 Von Mises Distributions | 402 |
Point Estimation | 405 |
Estimation of Mean and Variance | 406 |
Tables | 409 |
Culture | 423 |
FHR | 424 |
Firms | 425 |
Forest Fires | 426 |
Heart Valve | 427 |
Infarct | 428 |
Metal Firms | 429 |
Neonatal | 430 |
Rocks | 431 |
Soil Pollution | 432 |
Stock Exchange | 433 |
VCG | 434 |
Wines | 435 |
Appendix F Tools | 437 |
Tools EXCEL File | 438 |
439 | |
447 | |
Other editions - View all
Applied Statistics Using SPSS, STATISTICA, MATLAB and R Joaquim P. Marques de Sá Limited preview - 2007 |
Applied Statistics Using SPSS, STATISTICA, MATLAB and R Joaquim P. Marques de Sá No preview available - 2009 |
Common terms and phrases
analysis ANOVA test assess assume ASTV binomial chi-square coefficients column computed confidence interval confidence level Consider contingency table cork stopper cork-stopper correlation corresponding degrees of freedom denote density function Determine discrimination distribution function event Example factor foetal weight formula frequencies Graphs H₁ histogram independent samples level of significance linear regression MATLAB MATLAB commands measurements median Mises distribution normal distribution null hypothesis observed obtained with SPSS obtained with STATISTICA parameters percentile performed point estimate population Porto predictor principal components probability function random variable ranks regression model reject the null ROC curve sample mean sampling distribution sequence shown in Figure specific SPSS and MATLAB standard deviation standardised STATISTICA STATISTICA and SPSS Student's t distribution sum of squares survival survivor function test statistic Type I Error values variable ART variance vector von Mises distribution zero
References to this book
Allianzfähigkeit: Konzeption, Messung, Determinanten, Auswirkungen Oliver Schilke No preview available - 2007 |