Data Analysis: Statistical and Computational Methods for Scientists and Engineers by Siegmund Brandt

by Siegmund Brandt

Introduction.- Probabilities.- Random Distributions.- Computer-Generated Random The Monte Carlo Method.- Some Important Distributions and Theorems.- Samples.- The Method of Maximum Likelihood.- Testing Statistical Hypotheses.- The Method of Least Squares.- Function Minimization.- Analysis of Variance.- Linear and Polynomial Regression.- Time-Series Analysis.- A) Matrix Calculations.- B) Combinatorics.- C) Formulas and Methods for the Computation of Statistical Functions.- D) The Gamma Function and Related Methods and Programs for their Computation.- E) Utility Programs.- F) The Graphics Class DatanGraphics.- G) Problems, Hints and Solutions and Programming Problems.- H) Collection of Formulas.- I) Statistical Formulas.- List of Computer Programs.

Hardcover

First published November 25, 1998

Reviews

[Amr Khaled · Rating 1 out of 5]

Right off the bat, it was very obvious that this book required a heavy backbone of statistics, one that I unfortunately do not have.
I stuck with it in the hopes that it might enlighten me about those weaknesses of knowledge that I have, alas that did not happen.
By the end, the book kept rambling about equations which I only saw in them the demise of my dreams to understand them.
My hope is for another book to salvage me.