Introduction to Probability and Statistics for Science, Engineering, and Finance

Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, this introduction illustrates the role and scope of statistics and probability in various fields. Linking probability theory with statistical inference, it presents many application examples from engineering, computer performance analysis,

Autorentext
Walter A. Rosenkrantz

Inhalt

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.