Statistics for making decisions (Record no. 4626)

MARC details
000 -LEADER
fixed length control field 06007nam a22002057a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230127120828.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230127b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367342708
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.542
Item number LON
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Longford, Nicholas T.
245 ## - TITLE STATEMENT
Title Statistics for making decisions
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. CRC Press
Place of publication, distribution, etc. Boco Raton
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xv, 292 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 42.99
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Table of Contents<br/>1 First steps<br/><br/>What shall we do?<br/><br/>Example<br/><br/>The setting<br/><br/>Losses and gains<br/><br/>States, spaces and parameters<br/><br/>Estimation Fixed and random<br/><br/>Study design<br/><br/>Exercises<br/><br/>2. Statistical paradigms<br/><br/>Frequentist paradigm<br/><br/>Bias and variance<br/><br/>Distributions<br/><br/>Sampling from finite populations<br/><br/>Bayesian paradigm<br/><br/>Computer-based replications<br/><br/>Design and estimation<br/><br/>Likelihood and fiducial distribution<br/><br/>Example Variance estimation<br/><br/>From estimate to decision<br/><br/>Hypothesis testing<br/><br/>Hypothesis test and decision<br/><br/>Combining values and probabilities Additivity<br/><br/>Further reading<br/><br/>Exercises<br/><br/>3. Positive or negative?<br/><br/>Constant loss<br/><br/>Equilibrium and critical value<br/><br/>The margin of error<br/><br/>Quadratic loss<br/><br/>Combining loss functions<br/><br/>Equilibrium function<br/><br/>Example<br/><br/>Example<br/><br/>Plausible values and impasse<br/><br/>Elicitation<br/><br/>Post-analysis elicitation<br/><br/>Plausible rectangles<br/><br/>Example<br/><br/>Summary<br/><br/>Further reading<br/><br/>Exercises<br/><br/>4. Non-normally distributed estimators<br/><br/>Student t distribution<br/><br/>Fiducial distribution for the t ratio<br/><br/>Example<br/><br/>Example<br/><br/>Verdicts for variances<br/><br/>Linear loss for variances<br/><br/>Verdicts for standard deviations<br/><br/>Comparing two variances<br/><br/>Example<br/><br/>Statistics with binomial and Poisson distributions<br/><br/>Poisson distribution<br/><br/>Example<br/><br/>Further reading<br/><br/>Exercises<br/><br/>Appendix<br/><br/>5. Small or large?<br/><br/>Piecewise constant loss<br/><br/>Asymmetric loss<br/><br/>Piecewise linear loss<br/><br/>Example<br/><br/>Piecewise quadratic loss<br/><br/>Example<br/><br/>Example<br/><br/>Ordinal categories<br/><br/>Piecewise linear and quadratic losses<br/><br/>Multitude of options<br/><br/>Discrete options<br/><br/>Continuum of options<br/><br/>Further reading<br/><br/>Exercises<br/><br/>Appendix<br/><br/>A Expected loss Ql in equation ()<br/><br/>B Continuation of Example<br/><br/>C Continuation of Example<br/><br/>6. Study design<br/><br/>Design and analysis<br/><br/>How big a study?<br/><br/>Planning for impasse<br/><br/>Probability of impasse<br/><br/>Example<br/><br/>Further reading<br/><br/>Exercises<br/><br/>Appendix Sample size calculation for hypothesis testing  <br/><br/>7. Medical screening<br/><br/>Separating positives and negatives<br/><br/>Example<br/><br/>Cutpoints specific to subpopulations<br/><br/>Distributions other than normal<br/><br/>Normal and t distributions<br/><br/>A nearly perfect but expensive test<br/><br/>Example<br/><br/>Further reading<br/><br/>Exercises<br/><br/>8. Many decisions<br/><br/>Ordinary and exceptional units<br/><br/>Example<br/><br/>Extreme selections<br/><br/>Example<br/><br/>Grey zone<br/><br/>Actions in a sequence<br/><br/>Further reading<br/><br/>Exercises<br/><br/>Appendix<br/><br/>A Moment-matching estimator<br/><br/>B The potential outcomes framework<br/><br/>9. Performance of institutions<br/><br/>The setting and the task<br/><br/>Evidence of poor performance<br/><br/>Assessment as a classification<br/><br/>Outliers<br/><br/>As good as the best<br/><br/>Empirical Bayes estimation<br/><br/>Assessment based on rare events<br/><br/>Further reading<br/><br/>Exercises<br/><br/>Appendix<br/><br/>A Estimation of _ and _<br/><br/>B Adjustment and matching on background<br/><br/>10. Clinical trials<br/><br/>Randomisation<br/><br/>Analysis by hypothesis testing<br/><br/>Electing a course of action — approve or reject<br/><br/>Decision about superiority<br/><br/>More complex loss functions<br/><br/>Trials for non-inferiority<br/><br/>Trials for bioequivalence<br/><br/>Crossover design<br/><br/>Composition of within-period estimators<br/><br/>Further reading<br/><br/>Exercises<br/><br/>11. Model uncertainty<br/><br/>Ordinary regression<br/><br/>Ordinary regression and model uncertainty<br/><br/>Some related approaches<br/><br/>Bounded bias<br/><br/>Composition<br/><br/>Composition of a complete set of candidate models<br/><br/>Summary<br/><br/>Further reading<br/><br/>Exercises<br/><br/>Appendix<br/><br/>A Inverse of a partitioned matrix<br/><br/>B Mixtures<br/><br/>EM algorithm<br/><br/>C Linear loss<br/><br/>12. Postscript<br/><br/>References<br/><br/>Index<br/><br/>Solutions to exercises<br/><br/>
520 ## - SUMMARY, ETC.
Summary, etc. Making decisions is a ubiquitous mental activity in our private and professional or public lives. It entails choosing one course of action from an available shortlist of options. Statistics for Making Decisions places decision making at the centre of statistical inference, proposing its theory as a new paradigm for statistical practice. The analysis in this paradigm is earnest about prior information and the consequences of the various kinds of errors that may be committed. Its conclusion is a course of action tailored to the perspective of the specific client or sponsor of the analysis. The author’s intention is a wholesale replacement of hypothesis testing, indicting it with the argument that it has no means of incorporating the consequences of errors which self-evidently matter to the client.<br/><br/>The volume appeals to the analyst who deals with the simplest statistical problems of comparing two samples (which one has a greater mean or variance), or deciding whether a parameter is positive or negative. It combines highlighting the deficiencies of hypothesis testing with promoting a principled solution based on the idea of a currency for error, of which we want to spend as little as possible. This is implemented by selecting the option for which the expected loss is smallest (the Bayes rule).<br/><br/>The price to pay is the need for a more detailed description of the options, and eliciting and quantifying the consequences (ramifications) of the errors. This is what our clients do informally and often inexpertly after receiving outputs of the analysis in an established format, such as the verdict of a hypothesis test or an estimate and its standard error. As a scientific discipline and profession, statistics has a potential to do this much better and deliver to the client a more complete and more relevant product.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistical decision
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Decision making--Statistical methods
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Operations Management & Quantitative Techniques IN30543 11-01-2023 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 01/27/2023 Overseas Press India Private 2829.42   519.542 LON 004369 01/27/2023 1 4303.30 01/27/2023 Book

©2019-2020 Learning Resource Centre, Indian Institute of Management Bodhgaya

Powered by Koha