Mathematics Methods
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Guide to Mathematical Methods
Author: John Gilbert
language: en
Publisher: Bloomsbury Publishing
Release Date: 2017-03-14
A second edition of this text for science and engineering undergraduates which introduces the mathematical techniques and tools needed to solve the mathematical problems they will face on the first year of their course. Updated and revised by Camilla Jordan, the book now has additional examples and 'Aims and Objectives' sections. As with other titles in the Mathematical Guides series, this book is designed to enable students to acquire confidence and provides a solid foundation for further study.
Mathematical Methods and Models for Economists
Author: Angel de la Fuente
language: en
Publisher: Cambridge University Press
Release Date: 2000-01-28
A textbook for a first-year PhD course in mathematics for economists and a reference for graduate students in economics.
Mathematical Methods of Statistics
Author: Harald Cramér
language: en
Publisher: Princeton University Press
Release Date: 1999-04-12
In this classic of statistical mathematical theory, Harald Cram r joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. The result of Cram r's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow. For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance.