**Browse**

*New Releases*

**Category**

**In category**

Probability & Statistics (244)

Applied (172)

History & Philosophy (73)

Algebra (72)

Geometry (52)

Calculus (35)

Discrete Mathematics (34)

Logic (22)

Recreations & Games (21)

Reference (20)

Study & Teaching (18)

Functional Analysis (17)

**Price**

*All*

**Language**

*English* (970)

French (10)

German (24)

Spanish (15)

Italian (53)

**Protection**

*All* (970)

DRM Free (18)

DRM (952)

Praise for the *First Edition*

"...complete, up-to-date coverage of computational complexity theory...the book promises to become the standard reference on computational complexity." -*Zentralblatt MATH*

A thorough...

**AN INTERDISCIPLINARY PERSPECTIVE TO THE EVOLUTION OF THEORY AND METHODOLOGY WITHIN COGNITIVE INTERVIEW PROCESSES**

Providing a comprehensive approach to cognitive interviewing in the field of survey methodology,...

Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data...

Kenneth Arrow's pathbreaking impossibility theorem” was a watershed in the history of welfare economics, voting theory, and collective choice, demonstrating that there is no voting rule that satisfies the...

**Solutions Manual to accompany** *Classical Geometry: Euclidean, Transformational, Inversive, and Projective*

Written by well-known mathematical problem solvers, Classical Geometry: Euclidean, Transformational, Inversive,...

This book provides a comprehensive and up-to-date introduction to Hodge theory—one of the central and most vibrant areas of contemporary mathematics—from leading specialists on the subject. The topics range...

What is algebra? For some, it is an abstract language of x’s and y’s. For mathematics majors and professional mathematicians, it is a world of axiomatically defined constructs like groups, rings, and fields....

With a focus on the needs of educators and students, *Making Sense of Data* presents the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project. ...

A thorough first course in linear algebra, this two-part treatment begins with the basic theory of vector spaces and linear maps, including dimension, determinants, eigenvalues, and eigenvectors. The second...

Assuming no further prerequisites than a first undergraduate course in real analysis, this concise introduction covers general elementary theory related to orthogonal polynomials. It includes necessary background...

A self-contained treatment of finite Markov chains and processes, this text covers both theory and applications. Author Marius Iosifescu, vice president of the Romanian Academy and director of its Center for...

This book introduces the use of statistics to solve a variety of problems in exercise science and health and provides readers with a solid foundation for future research and data analysis.

*Statistics for Exercise...*

For thousands of years, it was the visionaries and writers who argued that we cannot be alone-that there is intellegent life in the universe. Now, with the discoveries of the Hubble Telescope, data emerging...

**An original account of** **willful ignorance and how this principle relates to modern probability and statistical methods **

Through a series of colorful stories about great thinkers and the problems they chose to...

Written at a readily accessible level,* Basic Data Analysis for Time Series with R* emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing...

The primary purpose of this undergraduate text is to teach students to do mathematical proofs. It enables readers to recognize the elements that constitute an acceptable proof, and it develops their ability...

Fascinating and highly readable, this book recounts the history of mathematics as revealed in the lives and writings of the most distinguished practitioners of the art: Archimedes, Descartes, Fermat, Pascal,...

A classic of pure mathematics, this advanced graduate-level text explores the intersection of functional analysis and analytic function theory. Close in spirit to abstract harmonic analysis, it is confined to...

Self-contained and suitable for undergraduate students, this text offers a working knowledge of calculus and statistics. It assumes only a familiarity with basic analytic geometry, presenting a coordinated study...

One of the most widely used reference books on applied mathematics for a generation, distributed in multiple languages throughout the world, this text is geared toward use with a one-year advanced course in...