FREE SHIPPING BOTH WAYS
ON EVERY ORDER!
LIST PRICE:
$138.00
Sorry, this item is currently unavailable.
Algebraic and Geometric Methods in Statistics
ISBN: 9780521896191 | 0521896193
Edition: 1stFormat: Hardcover
Publisher: Cambridge University Press
Pub. Date: 11/30/2009
Why Rent from Knetbooks?
Because Knetbooks knows college students. Our rental program is designed to save you time and money. Whether you need a textbook for a semester, quarter or even a summer session, we have an option for you. Simply select a rental period, enter your information and your book will be on its way!
Top 5 reasons to order all your textbooks from Knetbooks:
- We have the lowest prices on thousands of popular textbooks
- Free shipping both ways on ALL orders
- Most orders ship within 48 hours
- Need your book longer than expected? Extending your rental is simple
- Our customer support team is always here to help
This up-to-date account of algebraic statistics and information geometry explores the emerging connections between the two disciplines, demonstrating how they can be used in the design of experiments and how they benefit our understanding of statistical models. This new approach to classical statistical problems also raises brand new scientific questions.
An up-to-date account of algebraic statistics and information geometry, which also explores the emerging connections between these two disciplines.
An up-to-date account of algebraic statistics and information geometry, which also explores the emerging connections between these two disciplines.
| List of contributors | p. ix |
| Preface | p. xiii |
| Frequently used notations and symbols | p. xvi |
| Algebraic and geometric methods in statistics The editors | p. 1 |
| Contingency tables | p. 25 |
| Maximum likelihood estimation in latent class models for contingency table data | p. 27 |
| Algebraic geometry of 2x2 contingency tables | p. 63 |
| Model selection for contingency tables with alg... MORE | p. 83 |
| Markov chains, quotient ideals and connectivity with positive margins | p. 99 |
| Algebraic modelling of category distinguishability | p. 111 |
| The algebraic complexity of maximum likelihood estimation for bivariate missing data | p. 123 |
| The generalised shuttle algorithm | p. 135 |
| Designed experiments | p. 157 |
| Generalised design: interpolation and statistical modelling over varieties | p. 159 |
| Design of experiments and biochemical network inference | p. 175 |
| Replicated measurements and algebraic statistics | p. 187 |
| Indicator function and sudoku designs | p. 203 |
| Markov basis for design of experiments with three-level factors | p. 225 |
| Information geometry | p. 239 |
| Introduction to non-parametric estimation | p. 241 |
| The Banach manifold of quantum states | p. 257 |
| On quantum information manifolds | p. 265 |
| Axiomatic geometries for text documents | p. 277 |
| Exponential manifold by reproducing kernel Hilbert spaces | p. 291 |
| Geometry of extended exponential models | p. 307 |
| Quantum statistics and measures of quantum information | p. 327 |
| Information geometry and algebraic statistics | p. 339 |
| Algebraic varieties vs. differentiable manifolds in statistical models | p. 341 |
| On-line supplements (available for download from www.cambridge.org/9780521S96191) | p. 367 |
| Coloured figures for Chapter 2 | p. 369 |
| Maximum likelihood estimation in latent class models for contingency table data | p. 373 |
| The generalised shuttle algorithm | p. 395 |
| Indicator function and sudoku designs | p. 408 |
| Replicated measurements and algebraic statistics | p. 424 |
| Geometry of extended exponential models | p. 427 |
| Table of Contents provided by Ingram. All Rights Reserved. |
Please wait while this item is added to your cart...
