Statistical Analysis HandbookA Comprehensive Handbook of Statistical Concepts, Techniques and Software Tools. |
Contents
Trend Analysis | |
ARMA and ARIMA BoxJenkins models | |
Spectral analysis | |
Resources | |
Distribution tables | |
Bibliography | |
Statistical Software | |
Test Datasets and data archives | |
Tests and confidence intervals for mean values | |
Tests for proportions | |
Tests and confidence intervals for the spread of datasets | |
Tests of randomness | |
Tests of fit to a given distribution | |
Tests for crosstabulated count data | |
R Code samples | |
Inequality | |
Websites | |
Tests Index | |
Latin Square ANOVA | |
Log Odds Ratio Plot 4 Normal distribution plot 5 Bootstrapping | |
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Common terms and phrases
adjusted and/or ANOVA applied approach approximately autoregressive Bayesian Binomial box plots cell chart chi-square chi-square distribution coefficient column components computed confidence intervals correlation data values dataset defined degrees of freedom described diagram distance bands effects error estimated example expected value Exponential expression F-distribution factors formula Gamma distribution graph graphical groups hypothesis independent known Kotz Kurtosis large number least squares levels linear regression Markov Chain Mathworld matrix mean values measure median methods multiple multivariate Normal distribution observed obtained outliers parameters particular pattern plot Poisson Poisson distribution population predictor problems procedure random numbers range ratio References regression models residuals sample data selected setosa shown significant simple skewness software packages spatial autocorrelation SPSS standard deviation statistical sum of squared techniques transform treatment trials typically variance variation vector weights whilst Wikipedia Wiley & Sons