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This book is an introduction into stochastic processes for physicists, biologists and financial analysts. Using an informal approach, all the necessary mathematical tools and techniques are covered, including the stochastic differential equations, mean values, probability distribution functions, stochastic integration and numerical modeling. Numerous examples of practical applications of the stochastic mathematics are considered in detail, ranging from physics to the financial theory.  A reader with basic knowledge of the probability theory should have no difficulty in accessing the book content.

Mathematical physics. --- Stochastic processes. --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Probabilities. --- Probability --- Statistical inference --- Random processes --- Mathematics. --- Numerical analysis. --- Physics. --- Statistics. --- Probability Theory and Stochastic Processes. --- Numeric Computing. --- Mathematical Methods in Physics. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Mathematical analysis --- Math --- Science --- Probabilities --- Distribution (Probability theory. --- Electronic data processing. --- Statistics for Social Sciences, Humanities, Law. --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Computers --- Office practice --- Physical mathematics --- Physics --- Distribution functions --- Frequency distribution --- Characteristic functions --- Automation --- Statistics .