"The rising star and face of the new field "science of the individual" draws from the latest psychological and sociological research to show that success is found in individual strengths and weaknesses that don't fit along any average curve--a powerful manifesto for change in the ranks of Emotional Intelligence and The Power of Habit.Modern science has proven that people behave and learn in distinctive ways. And yet these individual patterns get lost...

Chance continues to govern our lives in the 21st Century. From the genes we inherit and the environment into which we are born, to the lottery ticket we buy at the local store, much of life is a gamble. In business, education, travel, health, and marriage, we take chances in the hope of obtaining something better. Chance colors our lives with uncertainty, and so it is important to examine it and try to understand about how it operates in a number...

Excellent basic text covers set theory, probability theory for finite sample spaces, binomial theorem, probability distributions, means, standard deviations, probability function of binomial distribution, and other key concepts and methods essential to a thorough understanding of probability. Designed for use by math or statistics departments offering a first course in probability. 360 illustrative problems with answers for half. Only high school...

This influential treatise presents upper-level undergraduates and graduate students with a mathematical analysis of choice behavior. It begins with the statement of a general axiom upon which the rest of the book rests; the following three chapters, which may be read independently of each other, are devoted to applications of the theory to substantive problems: psychophysics, utility, and learning. Applications to psychophysics include considerations...

This well-known and highly respected introduction to decision theory was developed at Stanford University. It furnishes a simple and clear-cut method of exhibiting the fundamental aspects of statistical problems. Beginners will find this treatment a motivating introduction to important mathematical notions such as set, function, and convexity.

Zhen-Qing Chen is professor of mathematics at the University of Washington. Masatoshi Fukushima is professor emeritus at Osaka University in Japan. His books include Dirichlet Forms and Symmetric Markov Processes. This book gives a comprehensive and self-contained introduction to the theory of symmetric Markov processes and symmetric quasi-regular Dirichlet forms. In a detailed and accessible manner, Zhen-Qing Chen and Masatoshi Fukushima cover...

Universally acknowledged as the classic text about statistics of extremes, this volume is geared toward use by statisticians and statistically minded scientists and engineers. It employs elementary terms to explain applications, favors graphical procedures over calculations, and presents simple generalizations as exercises - all of which contribute to its value for students. Starting with definitions of its aims and tools, the text proceeds to discussions...

Unified treatment of probability and statistics examines and analyzes the relationship between the two fields, exploring inferential issues. Numerous problems, examples, and diagrams--some with solutions--plus clear-cut, highlighted summaries of results. Advanced undergraduate to graduate level. Contents: 1. Introduction. 2. Probability Model. 3. Probability Distributions. 4. Introduction to Statistical Inference. 5. More on Mathematical Expectation....

Objective of this book is not to present an elaborate spectrum of all the potential tools, tests, and techniques but to provide a quick and efficient way of making sense of data at hand. This book is an attempt to help learners navigate through data and not get overwhelmed by the number of techniques and tests. Data is first step to discovery. There is no pride to be associated with knowledge or mastery of arcane or relative obscurity of tools or...

Dans ce livre, des exercices sont réalisés sur les sujets mathématiques suivants: calcul combinatoire et calcul de probabilité probabilité conditionnelle et théorème de Bayes calcul des paramètres statistiques: moyenne, médiane, mode et variance Des conseils théoriques initiaux sont également présentés pour faire comprendre l'exécution des exercices