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Statistic Textbook

The textbook provides the elementary concepts and basic descriptions of statistical procedures. It was written to guide user with no or little background in statistic, but also as a reference for more experienced users of MaxStat. We focus on practical application of statistical procedures trying to avoid theoretical concepts and equations. The literature contains hundreds of textbooks, and we recommend few for further reading (see below).

- Types of variables, distributions, p value, significance, nonparametric tests, outliers
- Descriptive statistic, normality, variances, outlier detection
- Discrete and continuous distributions, histograms
- t tests, 1-way ANOVA, 2-way ANOVA
- Chi-square analysis of contingency tables
- simple linear, multiple linear, logistic and nonlinear regression
- Parametric (Pearson) and nonparametric (Spearman) correlation analysis
- Principal component analysis (PCA), multidimensional scaling (MDS)
- Autocorrelation, exponential forecast, ARAR forecast, data smoothing
- Estimates of sample size, power analysis, factorial designs
Recommended textbooks for further reading
Zar, J. H. 2010. Biostatistical analysis. Pearson Education, Inc.
Townend, J. 2012. Practical statistics for environmental and biological scientists. Wiley.
Brockwell, P.J. and Davis, R.A. : Introduction to Time Series and Forecasting - second edition, Springer Verlag, New York, 2002.
Shumway, R.H. and Stoffer, D.S. : Time Series Analysis and Its Applications, Springer Verlag, New York, 2000.