With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of the most important data analysis techniques.
Describes, in detail, exploratory data analysis techniques from the univariate to the multivariate ones
Features a complete description of correspondence analysis and factor analysis techniques as multidimensional statistical data analysis...
With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univari...
Simulation is a controlled statistical sampling technique that can be used to study complex stochastic systems when analytic and/or numerical techniques do not suffice. The focus of this book is on simulations of discrete-event stochastic systems; namely, simulations in which stochastic state transitions occur only at an increasing sequence of random times. The discussion emphasizes simulations on a finite or countably infinite state space. * Develops probabilistic methods for simulation of discrete-event stochastic systems * Emphasizes stochastic modeling and estimation procedures...
Simulation is a controlled statistical sampling technique that can be used to study complex stochastic systems when analytic and/or numerical techniqu...
