THE PRINCIPLES OF UNCERTAINTY

Download The Principles Of Uncertainty ebook PDF or Read Online books in PDF, EPUB, and Mobi Format. Click Download or Read Online button to THE PRINCIPLES OF UNCERTAINTY book pdf for free now.

The Principles Of Uncertainty

Author : Maira Kalman
ISBN : 0143116460
Genre : Art
File Size : 69.18 MB
Format : PDF, ePub
Download : 833
Read : 1111

A narrative travelogue told in handwritten text and illustrations presents the creator's idiosyncratic worldview on a broad range of topics, from personal identity and happiness to the reasons for war and the delights of candy. 100,000 first printing.
Category: Art

The Principles Of Uncertainty

Author : Maira Kalman
ISBN : 159420134X
Genre : Art
File Size : 58.44 MB
Format : PDF, ePub
Download : 763
Read : 801

A narrative travelogue told in handwritten text and illustrations presents the creator's idiosyncratic worldview on a broad range of topics, from personal identity and happiness to the reasons for war and the delights of candy. 100,000 first printing.
Category: Art

Principles Of Uncertainty

Author : Joseph B. Kadane
ISBN : 9781439861615
Genre : Mathematics
File Size : 88.25 MB
Format : PDF, Mobi
Download : 159
Read : 564

An intuitive and mathematical introduction to subjective probability and Bayesian statistics. An accessible, comprehensive guide to the theory of Bayesian statistics, Principles of Uncertainty presents the subjective Bayesian approach, which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods. Both rigorous and friendly, the book contains: Introductory chapters examining each new concept or assumption Just-in-time mathematics – the presentation of ideas just before they are applied Summary and exercises at the end of each chapter Discussion of maximization of expected utility The basics of Markov Chain Monte Carlo computing techniques Problems involving more than one decision-maker Written in an appealing, inviting style, and packed with interesting examples, Principles of Uncertainty introduces the most compelling parts of mathematics, computing, and philosophy as they bear on statistics. Although many books present the computation of a variety of statistics and algorithms while barely skimming the philosophical ramifications of subjective probability, this book takes a different tack. By addressing how to think about uncertainty, this book gives readers the intuition and understanding required to choose a particular method for a particular purpose.
Category: Mathematics

Principles Of Risk Analysis

Author : Charles Yoe
ISBN : 9781439857502
Genre : Technology & Engineering
File Size : 51.25 MB
Format : PDF
Download : 969
Read : 567

In every decision context there are things we know and things we do not know. Risk analysis uses science and the best available evidence to assess what we know—and it is intentional in the way it addresses the importance of the things we don’t know. Principles of Risk Analysis: Decision Making Under Uncertainty lays out the tasks of risk analysis in a straightforward, conceptual manner that is consistent with the risk models of all communities of practice. It answers the questions "what is risk analysis?" and "how do I do this?" Distilling the common principles of the many risk tribes and dialects into serviceable definitions and narratives, the book provides a foundation for the practice of risk analysis and decision making under uncertainty for professionals from all walks of life. In the first part of the book, readers learn the language, models, and concepts of risk analysis and its three component tasks—risk management, assessment, and communication. The second part of the book supplies the tools, techniques, and methodologies to help readers apply the principles. From problem identification and brainstorming to model building and choosing a probability distribution, the author walks readers through the how-to of risk assessment. Addressing the critical task of risk communication, he explains how to present the results of assessments and how to develop effective messages. The book’s simple and straightforward style—based on the author’s decades of experience as a risk analyst, trainer, and educator—strips away the mysterious aura that often accompanies risk analysis. It describes the principles in a manner that empowers readers to begin the practice of risk analysis, to better understand and use the models and practice of their individual fields, and to gain access to the rich and sophisticated professional literature on risk analysis. Additional exercises as well as a free student version of the Palisade Corporation DecisionTools® Suite software and files used in the preparation of this book are available for download.
Category: Technology & Engineering

Beloved Dog

Author : Maira Kalman
ISBN : 9780143109884
Genre : Art
File Size : 59.78 MB
Format : PDF, ePub
Download : 296
Read : 324

"Dogs have lessons for us all. In Beloved Dog, renowned artist and author Maira Kalman illuminates our cherished companions as only she can. From the dogs lovingly illustrated in her acclaimed children's books to the real-life pets who inspire her still, Kalman's Beloved Dog is joyful, beautifully illustrated, and, as always, deeply philosophical."--
Category: Art

Cake

Author : Maira Kalman
ISBN : 9780525558408
Genre : Cooking
File Size : 35.95 MB
Format : PDF, ePub, Mobi
Download : 595
Read : 1022

With great style, wit, and joy, Maira Kalman and Barbara Scott-Goodman celebrate their favorite dessert. In Cake, renowned artist and author Maira Kalman and food writer Barbara Scott-Goodman bring us a beautifully illustrated book dedicated to their mutual love of cakes. Kalman's enchanting illustrations, in her inimitable style, and Scott-Goodman's mouthwatering recipes complement each other perfectly, making Cake a joyful whimsical celebration of a timeless dessert.
Category: Cooking

Pragmatics Of Uncertainty

Author : Joseph B. Kadane
ISBN : 9781315353814
Genre : Mathematics
File Size : 49.20 MB
Format : PDF, ePub, Docs
Download : 947
Read : 925

A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using real problems from the past, and offers additional comments about the context in which he was working.
Category: Mathematics

Maira Kalman

Author : Ingrid Schaffner
ISBN : 3791362852
Genre :
File Size : 76.79 MB
Format : PDF, Kindle
Download : 403
Read : 184

Category:

Principles Of Modeling Uncertainties In Spatial Data And Spatial Analyses

Author : Wenzhong Shi
ISBN : 1420059289
Genre : Technology & Engineering
File Size : 63.56 MB
Format : PDF, ePub, Mobi
Download : 743
Read : 985

When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses outlines the foundational principles and supplies a firm grasp of the disciplines’ theoretical underpinnings. Comprehensive, Systematic Review of Methods for Handling Uncertainties The book summarizes the principles of modeling uncertainty of spatial data and spatial analysis, and then introduces the developed methods for handling uncertainties in spatial data and modeling uncertainties in spatial models. Building on this foundation, the book goes on to explore modeling uncertainties in spatial analyses and describe methods for presentation of data as quality information. Progressing from basic to advanced topics, the organization of the contents reflects the four major theoretical breakthroughs in uncertainty modeling: advances in spatial object representation, uncertainty modeling for static spatial data to dynamic spatial analyses, uncertainty modeling for spatial data to spatial models, and error description of spatial data to spatial data quality control. Determine Fitness-of-Use for Your Applications Modeling uncertainties is essential for the development of geographic information science. Uncertainties always exist in GIS and are then propagated in the results of any spatial analysis. The book delineates how GIS can be a better tool for decision-making and demonstrates how the methods covered can be used to control the data quality of GIS products.
Category: Technology & Engineering