An introduction to statistical inference and its applications with R. (©2009)
- Record Type:
- Book
- Title:
- An introduction to statistical inference and its applications with R. (©2009)
- Main Title:
- An introduction to statistical inference and its applications with R
- Further Information:
- Note: Michael W. Trosset.
- Other Names:
- Trosset, Michael W (Michael William)
- Contents:
- Experiments; Examples; Randomization; The Importance of Probability; Games of Chance; Mathematical Preliminaries ; Sets; Counting; Functions; Limits; Probability; Interpretations of Probability; Axioms of Probability; Finite Sample Spaces; Conditional Probability; Random Variables; Case Study: Padrolling in Milton Murayama’s All I asking for is my body; Discrete Random Variables; Basic Concepts; Examples; Expectation; Binomial Distributions; Continuous Random Variables ; A Motivating Example; Basic Concepts; Elementary Examples; Normal Distributions; Normal Sampling Distributions; Quantifying Population Attributes ; Symmetry; Quantiles; The Method of Least Squares; Data; The Plug-In Principle; Plug-In Estimates of Mean and Variance; Plug-In Estimates of Quantiles; Kernel Density Estimates; Case Study: Are Forearm Lengths Normally Distributed?; Transformations; Lots of Data ; Averaging Decreases Variation; The Weak Law of Large Numbers; The Central Limit Theorem; Inference; A Motivating Example; Point Estimation; Heuristics of Hypothesis Testing; Testing Hypotheses about a Population Mean; Set Estimation; 1-Sample Location Problems ; The Normal 1-Sample Location Problem; The General 1-Sample Location Problem; The Symmetric 1-Sample Location Problem; Case Study: Deficit Unawareness in Alzheimer’s Disease; 2-Sample Location Problems ; The Normal 2-Sample Location Problem; The Case of a General Shift Family; Case Study: Etruscan versus Italian Head Breadth; The Analysis ofExperiments; Examples; Randomization; The Importance of Probability; Games of Chance; Mathematical Preliminaries ; Sets; Counting; Functions; Limits; Probability; Interpretations of Probability; Axioms of Probability; Finite Sample Spaces; Conditional Probability; Random Variables; Case Study: Padrolling in Milton Murayama’s All I asking for is my body; Discrete Random Variables; Basic Concepts; Examples; Expectation; Binomial Distributions; Continuous Random Variables ; A Motivating Example; Basic Concepts; Elementary Examples; Normal Distributions; Normal Sampling Distributions; Quantifying Population Attributes ; Symmetry; Quantiles; The Method of Least Squares; Data; The Plug-In Principle; Plug-In Estimates of Mean and Variance; Plug-In Estimates of Quantiles; Kernel Density Estimates; Case Study: Are Forearm Lengths Normally Distributed?; Transformations; Lots of Data ; Averaging Decreases Variation; The Weak Law of Large Numbers; The Central Limit Theorem; Inference; A Motivating Example; Point Estimation; Heuristics of Hypothesis Testing; Testing Hypotheses about a Population Mean; Set Estimation; 1-Sample Location Problems ; The Normal 1-Sample Location Problem; The General 1-Sample Location Problem; The Symmetric 1-Sample Location Problem; Case Study: Deficit Unawareness in Alzheimer’s Disease; 2-Sample Location Problems ; The Normal 2-Sample Location Problem; The Case of a General Shift Family; Case Study: Etruscan versus Italian Head Breadth; The Analysis of Variance ; The Fundamental Null Hypothesis; Testing the Fundamental Null Hypothesis; Planned Comparisons; Post Hoc Comparisons; Case Study: Treatments of Anorexia; Goodness-of-Fit ; Partitions; Test Statistics; Testing Independence; Association; Bivariate Distributions; Normal Random Variables; Monotonic Association; Explaining Association; Case Study: Anorexia Treatments Revisited; Simple Linear Regression ; The Regression Line; The Method of Least Squares; Computation; The Simple Linear Regression Model; Assessing Linearity; Case Study: Are Thick Books More Valuable?; Simulation-Based Inference ; Termite Foraging Revisited; The Bootstrap; Case Study: Adventure Racing; R: A Statistical Programming Language ; Introduction; Using R; Functions That Accompany This Book; Index; Exercises appear at the end of each chapter. … (more)
- Publisher Details:
- Boca Raton : CRC Press
- Publication Date:
- 2009
- Copyright Date:
- 2009
- Extent:
- 1 online resource (xxvii, 467 pages), illustrations
- Subjects:
- 519.54
Mathematical statistics
Probabilities
R (Computer program language)
Mathematical statistics
Probabilities
R (Computer program language)
Electronic books - Languages:
- English
- ISBNs:
- 9781584889489
1584889489 - Notes:
- Note: Includes bibliographical references and index.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.148716
- Ingest File:
- 01_102.xml