# Statistical decision theory

Xem 1-20 trên 24 kết quả Statistical decision theory
• ### Lecture Business statistics in practice (7/e): Chapter 19 - Bowerman, O'Connell, Murphree

Chapter 19 - Decision theory. After studying this chapter you will be able to: Make decisions under uncertainty and under risk and assess the value of perfect information, make decisions using posterior analysis and assess the value of sample information, make decisions using utility theory.

• ### Decision Theory A Brief Introduction

Decision theory in economics, psychology, philosophy, mathematics, and statistics is concerned with identifying the values, uncertainties and other issues relevant in a given decision, its rationality, and the resulting optimal decision. It is closely related to the field of game theory as to interactions of agents with at least partially conflicting interests whose decisions affect each other.

• ### Ebook Statistical techniques in business & economics (17th edition): Part 2

(BQ) Part 2 book "Statistical techniques in business & economics" has contents: Analysis of variance, correlation and linear regression, multiple regression analysis, statistical process control and quality management, an introduction to decision theory, index numbers,...and other contents.

• ### Statistics Essentials FOR DUMmIES

This book is designed to give you the essential, nitty-gritty information typically covered in a first semester statistics course. It’s bottom-line information for you to use as a refresher, a resource, a quick reference, and/or a study guide. It helps you decipher and make important decisions about statistical polls, experiments, reports and headlines with confidence, being ever aware of the ways people can mislead you with statistics, and how to handle it.

• ### Statistics for Business and Economics

This compendium aims at providing a comprehensive overview of the main topics that appear in any well-structured course sequence in statistics for business and economics at the undergraduate and MBA levels. The idea is to supplement either formal or informal statistic textbooks such as, e.g., “Basic Statistical Ideas for Managers” by D.K. Hildebrand and R.L. Ott and “The Practice of Business Statistics: Using Data for Decisions” by D.S. Moore, G.P. McCabe, W.M. Duckworth and S.L. Sclove, with a summary of theory as well as with a couple of extra examples.

In Business Statistics, we try to narrow the gap between theory and practice by presentingstatistical methods so they are both relevant and interesting.The data that inform a business decision have a story to tell, and the role ofStatistics is to help us hear that story clearly and communicate it to others.

• ### Digital Signal Processing Handbook P13

Detection and classification arise in signal processing problems whenever a decision is to be made among a finite number of hypotheses concerning an observed waveform. Signal detection algorithms decide whether the waveform consists of “noise alone” or “signal masked by noise.” Signal classification algorithms decide whether a detected signal belongs to one or another of prespecified classes of signals. The objective of signal detection and classification theory is to specify systematic strategies for designing algorithms which minimize the average number of decision errors.

• ### The Project Gutenberg EBook of Ueber Riemann's Theorie der Algebraischen Functionen by Felix Klein

The Project Gutenberg EBook of Ueber Riemann's Theorie der Algebraischen Functionen by Felix Klein This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at http://www.gutenberg.org/license Title: Ueber Riemann's Theorie der Algebraischen Functionen Author: Felix Klein Release Date: January 8, 2007

• ### \Some Famous Problems of the Theory of Numbers and in particular

The Project Gutenberg EBook of Some Famous Problems of the Theory of Numbers and in particular Waring’s Problem, by G. H. (Godfrey Harold) Hardy This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.net Title: Some Famous Problems of the Theory of Numbers and in particular Waring’s An Inaugural Lecture delivered before the University of Oxford Author: G. H.

• ### Image-Processing Techniques for Tumor Detection

The urgent need for computer-assisted detection of tumors and lesions in medical images becomes clear when one considers the state of affairs in X-ray film mammography for breast cancer screening. In the United States it is estimated that there are currently more than 50 million women over the age of 40 at risk of contracting breast cancer.

• ### The Project Gutenberg EBook The Theory of Numbers, by Robert D. Carmichael

The Project Gutenberg EBook The Theory of Numbers, by Robert D. Carmichael This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.net Title: The Theory of Numbers Author: Robert D. Carmichael Release Date: October 10, 2004

• ### Théorie des Fonctions Elliptiques, by Charles Briot and Jean Claude

The Project Gutenberg EBook of Théorie des Fonctions Elliptiques, by Charles Briot and Jean Claude Bouquet This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.net Title: Théorie des Fonctions Elliptiques Author: Charles Briot Jean Claude Bouquet Release Date: August 2, 2011

• ### The Relationship between Stock Prices and Exchange Rates Evidence from Turkey

Muirhead (1987) reviews the large literature on shrinkage estimators of the covariance matrix in ﬁnite-sample statistical decision theory. All these estimators suﬀer from at least two severe drawbacks, either of which is enough to make them ill-suited to stock returns: (i) they break down when N T; (ii) they do not exploit the a priori knowledge that stock returns tend to be positively correlated to one another.

• ### The Project Gutenberg EBook of Le calcul des résidus et ses applications à la théorie des

The Project Gutenberg EBook of Le calcul des résidus et ses applications à la théorie des fonctions, by Ernst Leonard Lindelöf This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online

• ### Sur les Principes Fondamentaux de la Théorie des Nombres et de la

Tham khảo sách 'sur les principes fondamentaux de la théorie des nombres et de la', khoa học tự nhiên, toán học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

• ### Chương 17 - KIỂM ĐỊNH GiẢ THUYẾT

Classical Statistics (Thống kê cổ điển) – sampling-theory approach (lý thuyết mẫu) – objective view of probability (xác suất khách quan) – decision making rests on analysis of available sampling data (ra quyết định dựa vào thông tin từ mẫu quan sát)

• ### Statistics for Business & Economics

This compendium aims at providing a comprehensive overview of the main topics that appear in any well-structured course sequence in statistics for business and economics at the undergraduate and MBA levels. The idea is to supplement either formal or informal statistic textbooks such as, e.g., “Basic Statistical Ideas for Managers” by D.K. Hildebrand and R.L. Ott and “The Practice of Business Statistics: Using Data for Decisions” by D.S. Moore, G.P. McCabe, W.M. Duckworth and S.L. Sclove, with a summary of theory as well as with a couple of extra examples.

• ### THEORY AND APPLICATIONS OF MONTE CARLO SIMULATIONS

The objective of this book is to introduce recent advances and state-of-the-art applications of Monte Carlo Simulation (MCS) in various fields. MCS is a class of statistical methods for performance analysis and decision making based on taking random samples from underly‐ ing systems or problems to draw inferences or estimations. Let us make an analogy by using the structure of an umbrella to define and exemplify the position of this book within the fields of science and engineering. Imagine that one can place MCS at the centerpoint of an umbrella and define the...