Illuminating Statistical Analysis Using Scenarios and Simulations
()
About this ebook
Features an integrated approach of statistical scenarios and simulations to aid readers in developing key intuitions needed to understand the wide ranging concepts and methods of statistics and inference
Illuminating Statistical Analysis Using Scenarios and Simulations presents the basic concepts of statistics and statistical inference using the dual mechanisms of scenarios and simulations. This approach helps readers develop key intuitions and deep understandings of statistical analysis. Scenario-specific sampling simulations depict the results that would be obtained by a very large number of individuals investigating the same scenario, each with their own evidence, while graphical depictions of the simulation results present clear and direct pathways to intuitive methods for statistical inference. These intuitive methods can then be easily linked to traditional formulaic methods, and the author does not simply explain the linkages, but rather provides demonstrations throughout for a broad range of statistical phenomena. In addition, induction and deduction are repeatedly interwoven, which fosters a natural "need to know basis" for ordering the topic coverage.
Examining computer simulation results is central to the discussion and provides an illustrative way to (re)discover the properties of sample statistics, the role of chance, and to (re)invent corresponding principles of statistical inference. In addition, the simulation results foreshadow the various mathematical formulas that underlie statistical analysis.
In addition, this book:
• Features both an intuitive and analytical perspective and includes a broad introduction to the use of Monte Carlo simulation and formulaic methods for statistical analysis
• Presents straight-forward coverage of the essentials of basic statistics and ensures proper understanding of key concepts such as sampling distributions, the effects of sample size and variance on uncertainty, analysis of proportion, mean and rank differences, covariance, correlation, and regression
• Introduces advanced topics such as Bayesian statistics, data mining, model cross-validation, robust regression, and resampling
• Contains numerous example problems in each chapter with detailed solutions as well as an appendix that serves as a manual for constructing simulations quickly and easily using Microsoft® Office Excel®
Illuminating Statistical Analysis Using Scenarios and Simulations is an ideal textbook for courses, seminars, and workshops in statistics and statistical inference and is appropriate for self-study as well. The book also serves as a thought-provoking treatise for researchers, scientists, managers, technicians, and others with a keen interest in statistical analysis.
Jeffrey E. Kottemann, Ph.D., is Professor in the Perdue School at Salisbury University. Dr. Kottemann has published articles in a wide variety of academic research journals in the fields of business administration, computer science, decision sciences, economics, engineering, information systems, psychology, and public administration. He received his Ph.D. in Systems and Quantitative Methods from the University of Arizona.
Related to Illuminating Statistical Analysis Using Scenarios and Simulations
Related ebooks
Statistical Distributions Rating: 0 out of 5 stars0 ratingsQuantitative Financial Risk Management Rating: 0 out of 5 stars0 ratingsThe Flaw of Averages: Why We Underestimate Risk in the Face of Uncertainty Rating: 4 out of 5 stars4/5The Numerate Leader: How to Pull Game-Changing Insights from Statistical Data Rating: 0 out of 5 stars0 ratingsA Guide to Business Statistics Rating: 0 out of 5 stars0 ratingsMaking Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining Rating: 0 out of 5 stars0 ratingsTotal-Reflection X-Ray Fluorescence Analysis and Related Methods Rating: 0 out of 5 stars0 ratingsSolutions Manual to accompany Modern Engineering Statistics Rating: 0 out of 5 stars0 ratingsDiscrete q-Distributions Rating: 0 out of 5 stars0 ratingsModern Applied U-Statistics Rating: 0 out of 5 stars0 ratingsStatistics from A to Z: Confusing Concepts Clarified Rating: 0 out of 5 stars0 ratingsJanice VanCleave's Big Book of Science Experiments Rating: 0 out of 5 stars0 ratingsQuantile Regression: Theory and Applications Rating: 0 out of 5 stars0 ratingsUsing Statistical Methods for Water Quality Management: Issues, Problems and Solutions Rating: 0 out of 5 stars0 ratingsFundamentals of Microwave Photonics Rating: 0 out of 5 stars0 ratingsNonparametric Hypothesis Testing: Rank and Permutation Methods with Applications in R Rating: 0 out of 5 stars0 ratingsStatistical Inference: A Short Course Rating: 4 out of 5 stars4/5Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know Rating: 1 out of 5 stars1/5Statistical Implications of Turing's Formula Rating: 0 out of 5 stars0 ratingsProbability Concepts and Theory for Engineers Rating: 0 out of 5 stars0 ratingsCalculus Essentials For Dummies Rating: 0 out of 5 stars0 ratingsAn Introduction to Econometric Theory Rating: 0 out of 5 stars0 ratingsSimulation Techniques in Financial Risk Management Rating: 3 out of 5 stars3/5Willful Ignorance: The Mismeasure of Uncertainty Rating: 5 out of 5 stars5/5Quantitative Business Valuation: A Mathematical Approach for Today's Professionals Rating: 3 out of 5 stars3/5Statistical Methods for Fuzzy Data Rating: 5 out of 5 stars5/5Topology and Its Applications Rating: 3 out of 5 stars3/5Biomedical Image Understanding: Methods and Applications Rating: 0 out of 5 stars0 ratingsHandbook of Probability Rating: 0 out of 5 stars0 ratingsThe Elements of Cantor Sets: With Applications Rating: 4 out of 5 stars4/5
Mathematics For You
Basic Math & Pre-Algebra For Dummies Rating: 4 out of 5 stars4/5Geometry For Dummies Rating: 5 out of 5 stars5/5Algebra - The Very Basics Rating: 5 out of 5 stars5/5Quantum Physics for Beginners Rating: 4 out of 5 stars4/5Painless Geometry Rating: 4 out of 5 stars4/5Mental Math: Tricks To Become A Human Calculator Rating: 5 out of 5 stars5/5Mental Math Secrets - How To Be a Human Calculator Rating: 5 out of 5 stars5/5Introducing Game Theory: A Graphic Guide Rating: 4 out of 5 stars4/5The Golden Ratio: The Divine Beauty of Mathematics Rating: 5 out of 5 stars5/5The Everything Everyday Math Book: From Tipping to Taxes, All the Real-World, Everyday Math Skills You Need Rating: 5 out of 5 stars5/5The Everything Guide to Algebra: A Step-by-Step Guide to the Basics of Algebra - in Plain English! Rating: 4 out of 5 stars4/5Algebra I Workbook For Dummies Rating: 3 out of 5 stars3/5Calculus Made Easy Rating: 4 out of 5 stars4/5My Best Mathematical and Logic Puzzles Rating: 5 out of 5 stars5/5Limitless Mind: Learn, Lead, and Live Without Barriers Rating: 4 out of 5 stars4/5Relativity: The special and the general theory Rating: 5 out of 5 stars5/5Real Estate by the Numbers: A Complete Reference Guide to Deal Analysis Rating: 0 out of 5 stars0 ratingsThe Math Book: From Pythagoras to the 57th Dimension, 250 Milestones in the History of Mathematics Rating: 3 out of 5 stars3/5Sneaky Math: A Graphic Primer with Projects Rating: 0 out of 5 stars0 ratingsIs God a Mathematician? Rating: 4 out of 5 stars4/5Mathematics, Magic and Mystery Rating: 4 out of 5 stars4/5Game Theory: A Simple Introduction Rating: 4 out of 5 stars4/5The Little Book of Mathematical Principles, Theories & Things Rating: 3 out of 5 stars3/5The Math of Life and Death: 7 Mathematical Principles That Shape Our Lives Rating: 4 out of 5 stars4/5A Mind for Numbers | Summary Rating: 4 out of 5 stars4/5Must Know High School Algebra, Second Edition Rating: 0 out of 5 stars0 ratingsLinear Algebra For Dummies Rating: 3 out of 5 stars3/5
Reviews for Illuminating Statistical Analysis Using Scenarios and Simulations
0 ratings0 reviews