books about: probability
books:
Discovering Statistics Using SPSS (Introducing Statistical Methods S.) (2nd Edition)
Andy Field
Sage Publications Ltd
, 2005
Get the Statistics Book That's Sweeping the Nation! Appropriate for All Levels--Undergraduate to Doctorate Programs in Every Discipline! This new edition of Field's bestselling textbook provides students of statistical methods with everything they need to understand, use and report statistics - at every level. Written in Andy Field's vivid and entertaining style, and furnished with playful examples from everyday student life (among other ...
Competition Math for Middle School
J. Batterson
CreateSpace Independent Publishing Platform
, 2009
Written for the gifted math student, the new math coach, the teacher in search of problems and materials to challenge exceptional students, or anyone else interested in advanced mathematical problems. Competition Math contains over 700 examples and problems in the areas of Algebra, Counting, Probability, Number Theory, and Geometry. Examples and full solutions present clear concepts and provide helpful tips and tricks. "I wish I had a book like ...
Probability Theory: Principles and Elementary Applications Vol 1
Cambridge University Press, 2003
The standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results ...
Doing Bayesian Data Analysis: A Tutorial with R and BUGS
John K. Kruschke
Academic Press
, 2010
There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides an accessible approach, as all mathematics is explained intuitively and with concrete examples. It assumes ...
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
Judith D. Singer
,
John B. Willett
Oxford University Press, USA
, 2003
Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting changes over time and investigating whether ...
Data Science for Business: What you need to know about data mining and data-analytic thinking
Foster Provost
,
Tom Fawcett
O'Reilly Media
, 2013
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over ...
How to Measure Anything: Finding the Value of "Intangibles" in Business
Douglas W. Hubbard
Wiley
, 2007
Praise for How to Measure Anything: Finding the Value of Intangibles in Business "I love this book. Douglas Hubbard helps us create a path to know the answer to almost any question in business, in science, or in life . . . Hubbard helps us by showing us that when we seek metrics to solve problems, we are really trying to know something better than we know it now. How to Measure Anything provides just the tools most of us need to measure ...
A Student's Guide to Maxwell's Equations
Daniel Fleisch
Cambridge University Press
, 2008
Gauss's law for electric fields, Gauss's law for magnetic fields, Faraday's law, and the Ampere-Maxwell law are four of the most influential equations in science. In this guide for students, each equation is the subject of an entire chapter, with detailed, plain-language explanations of the physical meaning of each symbol in the equation, for both the integral and differential forms. The final chapter shows how Maxwell's equations may be ...
An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements
John R. Taylor
University Science Books
, 1996
This best-selling text by John Taylor, now released in its second edition, introduces the study of uncertainties to lower division science students. Assuming no prior knowledge, the author introduces error analysis through the use of familiar examples ranging from carpentry to well-known historic experiments. Pertinent worked examples, simple exercises throughout the text, and numerous chapter-ending problems combine to make the book ideal for ...
A Primer Of Ecological Statistics
Nicholas J. Gotelli
,
Aaron M. Ellison
Sinauer Associates
, 2004
A Primer of Ecological Statistics explains fundamental material in probability theory and experimental design for ecologists and environmental scientists. The book emphasizes a general introduction to probability theory and provides a detailed discussion of specific designs and analyses that are typically encountered in ecology and environmental science. Appropriate for use as either a stand-alone or supplementary text for upper-division ...
Risk Management for Design and Construction
Ovidiu Cretu
,
Robert B. Stewart
, ...
RSMeans
, 2011
The essential risk assessment guide for civil engineering, design, and construction Risk management allows construction professionals to identify the risks inherent in all projects, and to provide the tools for evaluating the probabilities and impacts to minimize the risk potential. This book introduces risk as a central pillar of project management and shows how a project manager can be prepared for dealing with uncertainty. Written by experts ...
Introduction to Smooth Manifolds (Graduate Texts in Mathematics)
John M. Lee
Springer
, 2002
Author has written several excellent Springer books. This book is a sequel to Introduction to Topological Manifolds; Careful and illuminating explanations, excellent diagrams and exemplary motivation; Includes short preliminary sections before each section explaining what is ahead and why
Discovering Statistics Using SPSS for Windows: Advanced Techniques for Beginners (Introducing Statistical ...
Andy Field
Sage Publications Ltd
, 2000
Andy Field has written an up-to-date student-oriented textbook with the aim of making the learning of advanced statistics and using SPSS as painless as possible. While other books either concentrate on statistical theory or on the functions of the popular computer program SPSS, Andy Field integrates the two to provide the student with a thorough grounding in statistics through learning to use SPSS. He provides a detailed, but highly ...
Enterprise Project Portfolio Management: Building Competencies for R&D and IT Investment Success
Richard M. Bayney
,
Ram Chakravarti
J. Ross Publishing
, 2012
This unique guide and professional reference presents a structured framework for practitioners and students of project, program, and portfolio management to enhance their strategic and analytic capabilities in the evolving discipline of project portfolio management (PPM). It provides a practical, step-by-step approach to building competencies in categorizing, evaluating, optimizing, prioritizing, and managing an IT, pharmaceutical, biotech or ...
Probability's Nature and Nature's Probability : A Call to Scientific Integrity
Dr Donald E. Johnson
BookSurge Publishing
, 2010
Nov, 2010 update (including 52 2010 references) of Mar, 2009 original. The author once believed anyone not accepting the "proven" scenarios for chemical and biological evolution that were ingrained during his science education had the same mentality as someone believing in a flat earth. With continued scientific investigation, paying closer attention to actual data (rather than speculative conclusions), he began to doubt the natural ...
Risk Assessment and Decision Analysis with Bayesian Networks
Norman Fenton
,
Martin Neil
CRC Press
, 2012
Although many Bayesian Network (BN) applications are now in everyday use, BNs have not yet achieved mainstream penetration. Focusing on practical real-world problem solving and model building, as opposed to algorithms and theory, Risk Assessment and Decision Analysis with Bayesian Networks explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide powerful insights and better decision ...
Probability, Random Variables And Random Processes
Hwei Hsu
Tata Mcgraw Hill
An Introduction to Statistical Learning: with Applications in R
Gareth James
,
Daniela Witten
, ...
Springer
, 2013
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, ...
Palniverse
A.K. Dewdney
McClelland & Stewart
, 1984
The year is 1981, and in the computer lab of a large university a group of graduate students and their professor are hard at work on their mainframe, graphically modeling an imaginary two-dimensional world. The project is going well, extraordinarily well, when one student suddenly notices that the world they are building with their graphics program is . . . inhabited! So begins A.K. DewdneyÕs newly republished 1984 tale of trans-dimensional ...
Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building (Wiley Series in ...
George E. P. Box
,
William G. Hunter
, ...
John Wiley & Sons
, 1978
Introduces the philosophy of experimentation and the part that statistics play in experimentation. Emphasizes the need to develop a capability for ``statistical thinking'' by using examples drawn from actual case studies.
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