Prof. Dr. Milan Holický got his civil engineering degree at the Czech Technical University in Prague, and doctor degree at the University of Waterloo, Canada. He is involved in the research of structural reliability and risk assessment. In 2010 he became Extraordinary Professor at the University of Stellenbosch, South Africa; in 2011 he was awarded the degree Honorary Doctor of Science and Engineering of Moscow State University of Civil Engineering.

From the reviews: "This work ... primarily covers fundamental topics in statistics such as probability, descriptive statistics and higher moments, selected discrete and continuous random variables, parameter estimation, hypothesis testing of sample means and variances, and correlation and simple linear regression. ... This concise book may be suitable for engineers and practitioners who already have knowledge of mathematical statistics in order to refresh their memory. Summimg Up ... Professionals/practitioners." (S--T. Kim, Choice, Vol. 51 (7), March, 2014)

• Foreword.- 1 Introduction.- 2.Basic Concepts of Probability.- 3.Evaluation of Statistical Data.- 4.Distributions of Random Variables.- 5.Selected Models of Discrete Variables.- 6.Selected Models of Continuous Variables.- 7.Functions of Random Variables.- 8.Estimations of the Population Parameters.- 9.Fractiles of Random Variables.- 10.Testing of Statistical Hypotheses.- 11.Correlation and Regression.- 12.Random Functions.- Appendixes.

Prof. Dr. Milan Holický got his civil engineering degree at the Czech Technical University in Prague, and doctor degree at the University of Waterloo, Canada. He is involved in the research of structural reliability and risk assessment. In 2010 he became Extraordinary Professor at the University of Stellenbosch, South Africa; in 2011 he was awarded the degree Honorary Doctor of Science and Engineering of Moscow State University of Civil Engineering.

From the reviews: "This work ... primarily covers fundamental topics in statistics such as probability, descriptive statistics and higher moments, selected discrete and continuous random variables, parameter estimation, hypothesis testing of sample means and variances, and correlation and simple linear regression. ... This concise book may be suitable for engineers and practitioners who already have knowledge of mathematical statistics in order to refresh their memory. Summimg Up ... Professionals/practitioners." (S--T. Kim, Choice, Vol. 51 (7), March, 2014)

• Foreword.- 1 Introduction.- 2.Basic Concepts of Probability.- 3.Evaluation of Statistical Data.- 4.Distributions of Random Variables.- 5.Selected Models of Discrete Variables.- 6.Selected Models of Continuous Variables.- 7.Functions of Random Variables.- 8.Estimations of the Population Parameters.- 9.Fractiles of Random Variables.- 10.Testing of Statistical Hypotheses.- 11.Correlation and Regression.- 12.Random Functions.- Appendixes.