• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Uncertainty Processing and Information Fusion for Visualization
Uncertainty Processing and Information Fusion for Visualization

... of time-varying inputs from multiple sources • User's input in the visualization process can be exploited to modify consequences of uncertainty computations ...
Product Integration
Product Integration

... Product-integration was introduced more than 110 years ago by the Italian mathematician Vito Volterra, as a tool in the solution of a certain class of differential equations. It was studied intensively by mathematicians for half a century, but finally the subject became unfashionable and lapsed into ...
4.4 Occupation measures and local times
4.4 Occupation measures and local times

Exact upper tail probabilities of random series
Exact upper tail probabilities of random series

Error Analysis Lecture
Error Analysis Lecture

Probability 2 Recall: Outcome Event If all outcomes are equally likely
Probability 2 Recall: Outcome Event If all outcomes are equally likely

ChapterFive
ChapterFive

Probabilistic Turing Machines Definition
Probabilistic Turing Machines Definition

... Let 0    1. Then for any polynomial p(n) and a probabilistic TM PT1 that operates with error probability , there is a probabilistic TM PT2 that operates with an error probability 2 p ( n ) ...
Mutual Information and Channel Capacity
Mutual Information and Channel Capacity

Mutual Information and Channel Capacity
Mutual Information and Channel Capacity

... The conditional entropy is a measure of how much information loss occurs in the encoding process, and if it is equal to zero, then the encoder is information lossless. w.l.o.g., the encoder can be viewed as a channel in which the Source alphabet is the same as the codeword alphabet, and the encoding ...
Grade 7 Mathematics Module 5, Topic B, Overview
Grade 7 Mathematics Module 5, Topic B, Overview

8dataa - Logan Elm Schools
8dataa - Logan Elm Schools

... The numbers that show face up when the cubes stop rolling are used to make a fraction. The number on the red cube is used for the numerator and the number on the green cube is used for the denominator. ...
How Many Marbles?
How Many Marbles?

... answer 1/2, because there are two marbles but only one is blue.] 4. Put all 12 marbles in the bag and ask: “What is the probability that I will draw a red one?” [Students should answer 3/12, which will reduce to 1/4, because there are three red marbles in a bag of ...
Probability - HKMU Student Portal
Probability - HKMU Student Portal

The role of chance
The role of chance

Warehouse Activity Profiling
Warehouse Activity Profiling

2.8 Probability and Odds
2.8 Probability and Odds

Fuzzy Logic Ideas Can Help in Explaining Kahneman and Tversky`s
Fuzzy Logic Ideas Can Help in Explaining Kahneman and Tversky`s

Philosophy of Science, 69 (September 2002) pp
Philosophy of Science, 69 (September 2002) pp

ECE 275A – Homework 7 – Solutions
ECE 275A – Homework 7 – Solutions

... some clarification. If the samples in this example are drawn from a multinomial distribution,2 then with nonzero probability the sample values are not all distinct and the derived result that all probabilities are m1 , where m is the total number of samples, can be wrong with nonzero probability. In ...
possible numbers total possible numbers even . . . . 2 1 6 3 =
possible numbers total possible numbers even . . . . 2 1 6 3 =

... There are a couple of things to note about this experiment. Choosing a pairs of socks from the drawer, replacing it, and then choosing a pair again from the same drawer is a compound event (a compound event consists of two or more simple events.) Since the first pair was replaced, choosing a red pai ...
Unbiased Bayes estimates and improper priors
Unbiased Bayes estimates and improper priors

Coin tossing and Laplace inversion
Coin tossing and Laplace inversion

... of a probability measure  on …0; 1Š via the obvious change of variables eÿt ˆ x: An inversion formula for  in terms of its moments yields an inversion formula for  in terms of the values of its Laplace transform at n ˆ 0; 1; 2; . . . and vice versa. In our discussion we allow  (respectively ) t ...
Franklin.pdf
Franklin.pdf

... This focus will describe the conditions for a binomial distribution, applied to the above scenario. One condition, the n trials are independent, will lead to a discussion in Focus 2 of sampling with replacement versus sampling without replacement. Focus 2 This focus will describe sampling with repl ...
Section 5.1 Randomness, Probability, and Simulation The Idea of
Section 5.1 Randomness, Probability, and Simulation The Idea of

< 1 ... 35 36 37 38 39 40 41 42 43 ... 70 >

Probability box



A probability box (or p-box) is a characterization of an uncertain number consisting of both aleatoric and epistemic uncertainties that is often used in risk analysis or quantitative uncertainty modeling where numerical calculations must be performed. Probability bounds analysis is used to make arithmetic and logical calculations with p-boxes.An example p-box is shown in the figure at right for an uncertain number x consisting of a left (upper) bound and a right (lower) bound on the probability distribution for x. The bounds are coincident for values of x below 0 and above 24. The bounds may have almost any shapes, including step functions, so long as they are monotonically increasing and do not cross each other. A p-box is used to express simultaneously incertitude (epistemic uncertainty), which is represented by the breadth between the left and right edges of the p-box, and variability (aleatory uncertainty), which is represented by the overall slant of the p-box.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report