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This was one of the predecessor books to decision analysis, written by Howard Raiffa's collaborator at Harvard.

Highlighting analysis and probability, this resource provides the know-how to use leveled texts to differentiate instruction in mathematics. 15 different topics are featured. The high-interest text is written at four different reading levels with matching visuals. Practice problems are provided to reinforce what is taught in the passage. Teacher Resource CD features a modifiable version of each passage in text format and full-color versions of the texts and image files. Resource is designed for children in third-grade through 12th-grade.

Kompas is a three-coordinate probabilistic pattern navigator. Each coordinate has a unique travelling pace and a dedicated trigger output. The amou...

An intuitive, algorithmic approach to probability and stochastic processes.

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This is a masterly introduction to the modern and rigorous theory of probability. The author adopts the martingale theory as his main theme and moves at a lively pace through the subject's rigorous foundations. Measure theory is introduced and then immediately exploited by being applied to real probability theory. Classical results, such as Kolmogorov's Strong Law of Large Numbers and Three-Series Theorem are proved by martingale techniques. A proof of the Central Limit Theorem is also given. The author's style is entertaining and inimitable with pedagogy to the fore. Exercises play a vital role; there is a full quota of interesting and challenging problems, some with hints.

Humankind has expanded out into interstellar space using star gates-technological remnants left behind by an ancient, long-vanished race. But the technology comes with a price. Among the stars, humanity encountered the Fallers, a strange alien race bent on nothing short of genocide. It's all-out war, and humanity is losing.In this fragile situation, a new planet is discovered, inhabited by a pre-industrial race who experience "shared reality"-they're literally compelled to share the same worldview. A team of human scientists is dispatched-but what they don't know is that their mission of first contact is actually a covert military operation.For one of the planet's moons is really a huge mysterious artifact of the same origin as the star gates . . . and it just may be the key to winning the war.

Put statistical theories into practice with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th Edition. Always a favorite with statistics students, this calculus-based text offers a comprehensive introduction to probability and statistics while demonstrating how professionals apply concepts, models, and methodologies in today's engineering and scientific careers. Jay Devore, an award-winning professor and internationally recognized author and statistician, emphasizes authentic problem scenarios in a multitude of examples and exercises, many of which involve real data, to show how statistics makes sense of the world. Mathematical development and derivations are kept to a minimum. The book also includes output, graphics, and screen shots from various statistical software packages to give you a solid perspective of statistics in action. A Student Solutions Manual, which includes worked-out solutions to almost all the odd-numbered exercises in the book, is available.

Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 1.2

Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distributions, sample complexity, VC dimension, Rademacher complexity, power laws and related distributions, cuckoo hashing, and the Lovasz Local Lemma. Material relevant to machine learning and big data analysis enables students to learn modern techniques and applications. Among the many new exercises and examples are programming-related exercises that provide students with excellent training in solving relevant problems. This book provides an indispensable teaching tool to accompany a one- or two-semester course for advanced undergraduate students in computer science and applied mathematics.

Probability in Banach Spaces IV: Proceedings of the Seminar Held in Oberwolfach, FRG, July 1982 (Lecture Notes in Mathematics) (English and French Edition) [paperback] Beck, A.,Jacobs, K. [Jul 11, 1983]

This text grew out of the author’s notes for a course that he has taught for many years to a diverse group of undergraduates. The early introduction to the major concepts engages students immediately, which helps them see the big picture, and sets an appropriate tone for the course. In subsequent chapters, these topics are revisited, developed, and formalized, but the early introduction helps students build a true understanding of the concepts. The text utilizes the statistical software R, which is both widely used and freely available (thanks to the Free Software Foundation). However, in contrast with other books for the intended audience, this book by Akritas emphasizes not only the interpretation of software output, but also the generation of this output. Applications are diverse and relevant, and come from a variety of fields.

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This is the standard textbook for courses on probability and statistics, not substantially updated. While helping students to develop their problem-solving skills, the author motivates students with practical applications from various areas of ECE that demonstrate the relevance of probability theory to engineering practice. Included are chapter overviews, summaries, checklists of important terms, annotated references, and a wide selection of fully worked-out real-world examples. In this edition, the Computer Methods sections have been updated and substantially enhanced and new problems have been added.

"Every serious probabilist should, and doubtless will, possess a copy of this important work. Loève is to be complimented on completing his Herculean task at a uniformly high level of elegance." ― Journal of the American Statistical Association"This is a very scholarly book in the best tradition of analysis. Nothing else of this type exists for the benefit of the serious student of the subject and it is safe to predict that it will remain a standard compendium for many years to come." ― S. Vajda in Zentralblatt für MathematikIn the decades following its 1963 publication, this volume served as the standard advanced text in probability theory. Geared toward graduate students and professionals in the field of probability and statistics, the treatment offers extensive introductory material and is suitable for an undergraduate course in probability theory. The first four chapters cover notions of measure theory plus general concepts and tools of probability theory. Subsequent chapters explore sums of independent random variables, the central limit problem, conditioning, independence and dependence, ergodic theorems, and second order properties. The final two chapters examine foundations, martingales, and decomposability as well as Markov processes.

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"The reader does not require an Imo future to find this book useful. It is an introductory probability text that can serve as an adjunct to a more detailed text, or a collection of classroom capsules also touching on algebra, number theory, combinatorics, graph theory, and geometry." Mathematical Association of America In China, lots of excellent students who are good at maths take an active part in various maths contests and the best six senior high school students will be selected to form the Imo National Team to compete in the International Mathematical Olympiad. In the past ten years China's Imo Team has achieved outstanding results - they have won the first place almost every year. The author is one of the senior coaches of China's Imo National Team, whose students have won many gold medals many times in Imo. This book is part of the Mathematical Olympiad Series which discusses several aspects related to maths contests, such as algebra, number theory, combinatorics, graph theory and geometry. This book will, in an interesting problem-solving way, explain what probability theory is: its concepts, methods and meanings; particularly, two important concepts - probability and mathematical expectation (briefly expectation) - are emphasized. It consists of 65 problems, appended by 107 exercises and their answers.

This introduction to Probability Theory can be used, at the beginning graduate level, for a one-semester course on Probability Theory or for self-direction without benefit of a formal course; the measure theory needed is developed in the text. It will also be useful for students and teachers in related areas such as Finance Theory (Economics), Electrical Engineering, and Operations Research. The text covers the essentials in a directed and lean way with 28 short chapters. Assuming of readers only an undergraduate background in mathematics, it brings them from a starting knowledge of the subject to a knowledge of the basics of Martingale Theory. After learning Probability Theory from this text, the interested student will be ready to continue with the study of more advanced topics, such as Brownian Motion and Ito Calculus, or Statistical Inference.

The Third Edition of this engineering management text retains the pedagogical strengths that made the previous editions so popular, including the use of real data in the examples. There is a new chapter on nonparametric statistics, a new section on p-values in hypothetical testing, new coverage of residual analysis, and more material on quality control and experiment design. Provides chapter introductions, including interesting historical information, and there are more illustrations and many new problems. Contains enough material for a two-term course and the broad coverage permits instructors flexibility in choice of topics.

This is a textbook on applied probability and statistics with computer science applications for students at the upper undergraduate level. It may also be used as a self study book for the practicing computer science professional. The successful first edition of this book proved extremely useful to students who need to use probability, statistics and queueing theory to solve problems in other fields, such as engineering, physics, operations research, and management science. The book has also been successfully used for courses in queueing theory for operations research students. This second edition includes a new chapter on regression as well as more than twice as many exercises at the end of each chapter. While the emphasis is the same as in the first edition, this new book makes more extensive use of available personal computer software, such as Minitab and Mathematica.