Mathematics & Statistics

By Eric W. Weisstein. 2nd edition.

A wiki-style, open access resource for the mathematics community. The original articles are from the online Encyclopaedia of Mathematics (by E Hazewinkel), but are now open to crowdsourced edits. Also includes the Statprob category for statistics and probability content.

Contains information on integer sequences, including the leading terms of the sequence, keywords, mathematical motivations, literature links, and more. The database is searchable by keyword, by subsequence, or by any of 16 fields.

A good resource for general, non-specialist readers.

Assembled by Eric W. Weisstein, Wolfram Math World is the web version of the CRC Concise Encyclopedia of Mathematics.

Good for undergraduate students. Excludes statistics, computing and applied mathematics.

A translation of Iwanami Sūgaku Jiten by the Mathematical Society of Japan. Includes detailed entries and biographical information.

Over 3600 terms are defined, covering medical, survey, theoretical, and applied statistics, including computational aspects. Entries are provided for standard and specialized statistical software.

A good resource for math applications in the sciences and engineering.

Produced by the National Institute of Standards and Technology.

A companion to the NIST Handbook of Mathematical Functions.

Comprehensive resource on discrete mathematics.

Divided into chapters on semigroups, groups, rings and modules, fields, representation theory, lattices, universal algebra, homological algebra, etc..

Covers the current state of the art in the philosophy of math and logic in a comprehensive and accessible manner, giving the reader an overview of the major problems positions, and battle lines.

Contains over 2,500 integral equations with solutions as well as analytical and numerical methods for solving linear and nonlinear equations.

Includes techniques for solving and approximating both ordinary and partial differential equations.

Focuses on the methods used for obtaining solutions of various classes of mathematical equations that underlie the mathematical modeling of numerous phenomena and processes in science and technology.

Includes most frequently used distribution by statisticians.