Abstract
Chapter 27 deals with basic theory and practical methods of statistical inference: 27.1. Sampling Theory: Simple Random Sample, 27.2. Sampling Theory: Stratified Random Sample, 27.3. Elementary Statistical Treatment, 27.4. Sample Quantiles, 27.5. Measures of Sample Level, 27.6. Measures of Sample Variability, 27.7. Measures of Sample Concentration, 27.8. Measures of Sample Dependence, 27.9. Point and Interval Estimators, 27.10. Hypothesis Testing, 27.11. Regression Analysis, 27.12. Analysis of Variance (ANOVA), 27.13. Multivariate Statistical Analysis.
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Further Reading
Draper, N.R., Smith, H.: Applied Regression Analysis. Wiley, New York (1998)
Jolliffe, I.T.: Principal Component Analysis. Springer, New York (2002)
Lehmann, E.L., Romano, J.P.: Testing Statistical Hypotheses. Springer, New York (2005)
Mardia, K.V., Kent, J.T., Bibby, J.M.: Multivariate Analysis. Academic, London (1979)
Rektorys, K. et al.: Survey of Applicable Mathematics. Kluwer, Dordrecht (1994)
Rice, J.A.: Mathematical Statistics and Data Analysis. Duxbury Press, Boston, MA (1995)
Wasserman, L.: All of Nonparametric Statistics. Springer, New York (2006)
Wilks, S.S.: Mathematical Statistics. Wiley, New York (1962)
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Cipra, T. (2010). Descriptive and Mathematical Statistics. In: Financial and Insurance Formulas. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2593-0_27
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DOI: https://doi.org/10.1007/978-3-7908-2593-0_27
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