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Probability & Statistics
|All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
Lowest new price: $68.54
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List price: $99.00
Author: Larry Wasserman
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines.
The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
|The End of Average: Unlocking Our Potential by Embracing What Makes Us Different
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Author: Todd Rose
|Barron's AP Statistics Flash Cards, 2nd Edition
Lowest new price: $15.00
Lowest used price: $13.45
List price: $18.99
Author: Marty Sternstein
Questions and answers on this set of more than 450 flash cards encompass four general statistics-based themes: exploratory analysis, planning a study, probability, and statistical inference. New to this edition are 50 extra multiple-choice questions that cover all topics. The cards measure 4 1/2" x 2 3/4" and have a punch-hole in one corner that accommodates an enclosed metal key-ring-style card holder. The ring allows students to arrange the flash cards in any sequence that suits their study needs. A valuable study aid, whether used alone or in tandem with Barron's AP Statistics review book. BONUS! An exclusive online exam included with the purchase of the flash cards.
|Introduction to Probability, 2nd Edition
Lowest new price: $78.00
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List price: $91.00
Author: Dimitri P. Bertsekas
Brand: Brand: Athena Scientific
An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. The 2nd edition is a substantial revision of the 1st edition, involving a reorganization of old material and the addition of new material. The length of the book has increased by about 25 percent. The main new feature of the 2nd edition is thorough introduction to Bayesian and classical statistics.
The book is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject, as well as the fundamental concepts and methods of statistical inference, both Bayesian and classical. It also contains, a number of more advanced topics, from which an instructor can choose to match the goals of a particular course. These topics include transforms, sums of random variables, a fairly detailed introduction to Bernoulli, Poisson, and Markov processes.
The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis has been just intuitively explained in the text, but is developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems.
Written by two professors of the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, and members of the prestigious US National Academy of Engineering, the book has been widely adopted for classroom use in introductory probability courses within the USA and abroad.
From a Review of the 1st Edition:
...it trains the intuition to acquire probabilistic feeling. This book explains every single concept it enunciates. This is its main strength, deep explanation, and not just examples that happen to explain. Bertsekas and Tsitsiklis leave nothing to chance. The probability to misinterpret a concept or not understand it is just... zero. Numerous examples, figures, and end-of-chapter problems strengthen the understanding. Also of invaluable help is the book's web site, where solutions to the problems can be found-as well as much more information pertaining to probability, and also more problem sets. --Vladimir Botchev, Analog Dialogue
Several other reviews can be found in the listing of the first edition of this book. Contents, preface, and more info at publisher's website (Athena Scientific, athenasc com)
- Used Book in Good Condition
|Statistics, 4th Edition
Lowest new price: $70.00
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List price: $113.10
Author: David Freedman
Brand: Freedman, David/ Pisani, Robert/ Purves, Roger
Renowned for its clear prose and no-nonsense emphasis on core concepts, Statistics covers fundamentals using real examples to illustrate the techniques. The Fourth Edition has been carefully revised and updated to reflect current data.
|Statistics: Informed Decisions Using Data (5th Edition)
Lowest new price: $127.96
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List price: $224.20
Author: Michael Sullivan III
For courses in introductory statistics.
Putting It Together
Statistics: Informed Decisions Using Data, Fifth Edition, gives students the tools to see a bigger picture and make informed choices. As a current introductory statistics instructor, Mike Sullivan III presents a text that is filled with ideas and strategies that work in today’s classroom. His practical emphasis resonates with students and helps them see that statistics is connected, not only to individual concepts, but also with the world at large.
MyLab™ Statistics for this edition takes advantage of data analytics to add additional exercises to high usage chapters. New Technology Support Videos show the author demonstrating easy-to-follow steps to solve a problem in several different formats—by hand, TI-84, and StatCrunch™.
Also available with MyLab Statistics
MyLab Statistics from Pearson is the world’s leading online resource for teaching and learning statistics; it integrates interactive homework, assessment, and media in a flexible, easy-to-use format. MyLab Statistics is a course management system that helps individual students succeed. It provides engaging experiences that personalize, stimulate, and measure learning for each student. Tools are embedded to make it easy to integrate statistical software into the course. And, it comes from an experienced partner with educational expertise and an eye on the future.
Note: You are purchasing a standalone product; MyLab Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Statistics, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.
If you would like to purchase both the physical text and MyLab Statistics, search for:
0134767594 / 9780134767598 Statistics: Informed Decisions Using Data with Integrated Review and Worksheets plus NEW MyLab Statistics with Pearson e-Text -- Access Card Package, 5/e
Package consists of:
- 0134133536 / 9780134133539 Statistics: Informed Decisions Using Data
- 0134606671 / 9780134606675 Worksheets for Statistics: Informed Decisions Using Data with Integrated Review
- 0134756819 / 9780134756813 MyLab Statistics with Pearson eText -- Standalone Access Card -- for Statistics: Informed Decisions Using Data with Integrated Review
|Using and Understanding Mathematics: A Quantitative Reasoning Approach (6th Edition)
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Author: Jeffrey O. Bennett
NOTE: THIS IS A STAND ALONE BOOK. ACCESS CODE IS NOT INCLUDED WITH THIS BOOK
Using and Understanding Mathematics: A Quantitative Reasoning Approach prepares students for the mathematics they will encounter in college courses, their future career, and life in general. Its quantitative reasoning approach helps students to build the skills needed to understand major issues in everyday life, and compels students to acquire the problem-solving tools that they will need to think critically about quantitative issues in contemporary society.
This program will provide a better teaching and learning experience–for you and your students. Here’s how:
- Improved results with MyMathLab , which is designed to work hand-in-hand with the book and offers additional practice and learning aids that improve student learning in measurable ways.
- The real-world focus turns students’ attention to the math they will need for college, career, and life.
- A wide range of exercises and problem types end each unit, making it easy for instructors to create assignments to fit their course goals.
- Study and review features in every chapter are designed to help students use their time effectively.
Note: You are purchasing a standalone product; MyMathLab does not come packaged with this content. MyMathLab is not a self-paced technology and should only be purchased when required by an instructor. If you would like to purchase both the physical text and MyMathLab, search for:
0321923219 / 9780321923219 Using and Understanding Mathematics: A Quantitative Reasoning Approach plus NEW MyMathLab with Pearson eText -- Access Card Package
Package consists of:
0321431308 / 9780321431301 MyMathLab -- Glue-in Access Card
0321654064 / 9780321654069 MyMathLab Inside Star Sticker
0321914627 / 9780321914620 Using and Understanding Mathematics: A Quantitative Reasoning Approach 6/e
|Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
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Author: Daphne Koller
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.
Most tasks require a person or an automated system to reason―to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.
Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.
|Statistics in Plain English, Fourth Edition (Volume 1)
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Author: Timothy C. Urdan
This introductory textbook provides an inexpensive, brief overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and describing distributions to more advanced concepts such as t tests, regression, repeated measures ANOVA, and factor analysis. Each chapter begins with a short description of the statistic and when it should be used. This is followed by a more in-depth explanation of how the statistic works. Finally, each chapter ends with an example of the statistic in use, and a sample of how the results of analyses using the statistic might be written up for publication. A glossary of statistical terms and symbols is also included. Using the author’s own data and examples from published research and the popular media, the book is a straightforward and accessible guide to statistics.
New features in the fourth edition include:
- sets of work problems in each chapter with detailed solutions and additional problems online to help students test their understanding of the material,
- new "Worked Examples" to walk students through how to calculate and interpret the statistics featured in each chapter,
- new examples from the author’s own data and from published research and the popular media to help students see how statistics are applied and written about in professional publications,
- many more examples, tables, and charts to help students visualize key concepts, clarify concepts, and demonstrate how the statistics are used in the real world.
- a more logical flow, with correlation directly preceding regression, and a combined glossary appearing at the end of the book,
- a Quick Guide to Statistics, Formulas, and Degrees of Freedom at the start of the book, plainly outlining each statistic and when students should use them,
- greater emphasis on (and description of) effect size and confidence interval reporting, reflecting their growing importance in research across the social science disciplines
- an expanded website at www.routledge.com/cw/urdan with PowerPoint presentations, chapter summaries, a new test bank, interactive problems and detailed solutions to the text’s work problems, SPSS datasets for practice, links to useful tools and resources, and videos showing how to calculate statistics, how to calculate and interpret the appendices, and how to understand some of the more confusing tables of output produced by SPSS.
Statistics in Plain English, Fourth Edition is an ideal guide for statistics, research methods, and/or for courses that use statistics taught at the undergraduate or graduate level, or as a reference tool for anyone interested in refreshing their memory about key statistical concepts. The research examples are from psychology, education, and other social and behavioral sciences.
|Elementary Statistics (12th Edition)
Lowest new price: $91.95
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List price: $224.20
Author: Mario F. Triola
Brand: Triola, Mario F.
Note: This ISBN is a Book with CD-ROM and does not include Access Card/Code.
From SAT scores to job search methods, statistics influences and shapes the world around us. Marty Triola’s text continues to be the bestseller because it helps students understand the relationship between statistics and the world, bringing life to the theory and methods.The Twelfth Edition contains more than 1,800 exercises, 89% of which use real data and 85% of which are new. Hundreds of examples are included, 91% of which use real data and 84% of which are new. New coverage of Ethics in Statistics highlights new guidelines that have been established in industry.
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