Introduction to probability and statistics for science, engineering and finance

Through an integrated approach, "Introduction to Probability and Statistics for Science, Engineering, and Finance" presents the traditional concepts of data analysis, probability theory, and statistical inference along with various novel applications in financial mathematics and engineering. The text covers distribution functions, linear regression, and both single- and multi-factor experiments. Focusing on random samples drawn from a population, it clarifies thelink between probability theory and statistical inference by discussing the use of statistical software packages in numerous examples. In addition, the datasets on an accompanying CD-ROM illustrate the scope of statistics in science and engineering. INDICE: Data Analysis. Probability Theory. Discrete Random Variables and Their Distribution Functions. Continuous Random Variables and Their Distribution Functions. Multivariate Probability Distributions. Sampling Distribution Theory. Point and Interval Estimation. Hypothesis Testing. Statistical Analysis of Categorical Data. Linear Regression and Correlation. Multiple Linear Regression. Single-Factor Experiments: Analysis of Variance. Design and Analysis of Multi-Factor Experiments. Statistical Quality Control. Appendix. Index.

• ISBN: 978-1-58488-812-3
• Editorial: CRC Press
• Encuadernacion: Cartoné
• Páginas: 667
• Fecha Publicación: 01/07/2008
• Nº Volúmenes: 1
• Idioma: Inglés