TY  - BOOK
AU  - Parzen,Emanuel
TI  - Stochastic Processes
AV  - QA273 .P278
U1  - 519.1 
PY  - 1964///, c1962]
CY  - San Francisco
PB  - Holden-Day
KW  - Probabilities
N1  - Includes bibliographical references: p. [307]-313 and indexes: p. [3140-324
N2  - The theory of Stochastic Processes is generally defined as the "dynamic" part of probability theory, in which one studies a collection of random variables (called stochastic process) from the point of view of their interdependence and limiting behavior. This course has three main aims: 1) to give examples of the wide variety of empirical phenomena for which stochastic processes provide mathematical models; 2) to provide an introduction to the methods of probability model-building; and 3) to provide the reader who does not possess an advanced mathematical background with mathematically sound techniques and with a sufficient degree of maturity to enable further study of the theory of stochastic processes
ER  -