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This unique collection of essays extends the frontiers of knowledge in econometrics as well as classical fields of statistical inference. Among others, it presents advances in stochastic processes, in the design of experiments and in the analysis of variance. Moreover, several papers on modern matrix algebra provide insights into up-to-date approaches in quantitative methods and show once more how useful a tool this is in modern mathematics-based data analysis. The book will therefore be of key interest to anybody working as a practitioner in statistical data analysis or as a researcher in modern statistical science.

Econometrics. --- Mathematical statistics. --- Matrices. --- Economics, Mathematical --- Statistics --- Algebra, Matrix --- Cracovians (Mathematics) --- Matrix algebra --- Matrixes (Algebra) --- Algebra, Abstract --- Algebra, Universal --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Probabilities --- Sampling (Statistics) --- Statistical methods --- Mathematics. --- Statistics. --- Applications of Mathematics. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Game Theory, Economics, Social and Behav. Sciences. --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Math --- Science --- Applied mathematics. --- Engineering mathematics. --- Statistics . --- Game theory. --- Games, Theory of --- Theory of games --- Mathematical models --- Engineering --- Engineering analysis --- Mathematical analysis