3 edition of **Optimal statistical decisions** found in the catalog.

Optimal statistical decisions

Morris H. DeGroot

- 193 Want to read
- 19 Currently reading

Published
**1970**
by Mc Graw-Hill in New York
.

Written in English

- Statistical decision

**Edition Notes**

Bibliography: p. 447-471.

Statement | [by] Morris H. DeGroot, |

The Physical Object | |
---|---|

Pagination | xvi, 489 p. |

Number of Pages | 489 |

ID Numbers | |

Open Library | OL13538639M |

OCLC/WorldCa | 25428811 |

Theory of Games and Statistical Decisions - Ebook written by David A. Blackwell, M. A. Girshick. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Theory of Games and Statistical Decisions. Solutions to Selected Problems In: Optimal Statistical Decisions by William DeGroot John L. Weatherwax∗ ∗[email protected] 1.

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Optimal Statistical Decisions | The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists. Decision theory (or the theory of choice not to be confused with choice theory) is the study of an agent's choices. Decision theory can be broken into two branches: normative decision theory, which analyzes the outcomes of decisions or determines the optimal decisions given constraints and assumptions, and descriptive decision theory, which analyzes how agents actually make .

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Morris DeGroot (now deceased) was a great statistician and gentleman of the 20th Century. Says friend and coworker Joseph B. ("Jay") Kadane of DeGroot in the Foreword. He was an institutional builder, as founder of the Statistics Department at Carnegie Mellon University and as first Executive Editor of Statistical Science.

Sequential decisions as well as one-off decisions are are a great many interesting examples given. For me, a particularly interesting aspect of the subject is the theory of searching for lost objects, which is covered here.

(This book was published two years after the loss of the nuclear submarine USS Scorpion in deep water in May Cited by: Optimal Statistical Decisions is a landmark book. It is still about the clearest introduction to Bayesian Statistical Decision Theory avail- able.

Written in the late ’s, it does not cover the computational ad- vances that have become so popular and well-used. But with the rapid. Optimal Statistical Decisions book. Read reviews from world’s largest community for readers. The Wiley Classics Library consists of selected books that h /5(4).

Optimal Statistical Decisions - Ebook written by Morris H. DeGroot. Read this book using Google Play Books app on your PC, android, iOS devices.

Download for offline reading, highlight, bookmark or take notes while you read Optimal Statistical Decisions. Part Three. Statistical Decision Problems. Chapter 8. Decision Problems Chapter 9. Conjugate Prior Distributions Chapter Limiting Optimal statistical decisions book Distributions Chapter Estimation, Testing Hypotheses, and linear Statistical Models Part Four.

Sequential Decisions. Chapter Sequential Sampling Chapter Optimal. Optimal Statistical Decisions Morris H. DeGroot Limited preview - Lemma loss function martingale mean vector multivariate normal distribution nonnegative number of observations observed values optimal procedure optimal sequential decision parameter space positive integer poſt posterior distribution All Book Search results » 5/5(3).

I bought this book in when I took Morry Degroot's course in decision theory. I have used it ever since. The text makes all the connections between bayesian decision theory and probability theory and covers the useful techniques in both areas.5/5. Optimal Statistical Decisions (Probability & Statistics) by Morris H.

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Optimal Statistical Decisions Morris H. DeGroot. The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and.

Optimal statistical decisions. [Morris H DeGroot] Home. WorldCat Home About WorldCat Help. Search. Search for Library Items Search for Lists Search for Book: All Authors / Contributors: Morris H DeGroot. Find more information about: ISBN: OCLC Number: PART THREE. STATISTICAL DECISION PROBLEMS.

Chapter 8. Decision Problems. Elements of a Decision Problem. Bayes Risk and Bayes Decisions. Nonnegative Loss Functions. Concavity of the Bayes Risk. Randomization and Mixed Decisions. Convex Sets. Decision Problems in Which ~2 and D Are Finite.

Decision Problems with. Part Three. Statistical Decision Problems. Chapter 8. Decision Problems Chapter 9. Conjugate Prior Distributions Chapter Limiting Posterior Distributions Chapter Estimation, Testing Hypotheses, and linear Statistical Models Part Four.

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Huitson. Find many great new & used options and get the best deals for Optimal Statistical Decisions by Morris H. DeGroot (, Hardcover) at the best online prices at. Part Three. Statistical Decision Problems. Chapter 8. Decision Problems Chapter 9. Conjugate Prior Distributions Chapter Limiting Posterior Distributions Chapter Estimation, Testing Hypotheses, and linear Statistical Models Part Four.

Sequential Decisions. Chapter Sequential Sampling Chapter Optimal Price: $Decision theory, in statistics, a set of quantitative methods for reaching optimal decisions.A solvable decision problem must be capable of being tightly formulated in terms of initial conditions and choices or courses of action, with their consequences.

In general, such consequences are not known with certainty but are expressed as a set of probabilistic outcomes.An optimal decision is a decision that leads to at least as good a known or expected outcome as all other available decision options.

It is an important concept in decision order to compare the different decision outcomes, one commonly assigns a utility value to each of them. If there is uncertainty as to what the outcome will be, then under the von Neumann–Morgenstern .