'Distribution function' diaporamas de présentation

Continuous Random Variables and Reliability Analysis

In the Name of the Most High . Continuous Random Variables and Reliability Analysis. Behzad Akbari Spring 2009 Tarbiat Modares University. These slides are based on the slides of Prof. K.S. Trivedi (Duke University). Definitions. Distribution function:

872 views • 62 slides

Monsoon Rainfall Forecasting

Monsoon Rainfall Forecasting. Pankaj Jain IIT Kanpur. Introduction. Monsoon prediction is clearly of great importance for India One would like to make long term prediction, i.e. predict total monsoon rainfall a few weeks or months in advance

1.48k views • 59 slides

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619 views • 51 slides

Long Short Portfolio Optimisation under Mean-Variance-CVaR Framework

Long Short Portfolio Optimisation under Mean-Variance-CVaR Framework . Gautam Mitra CARISMA, Brunel University and OptiRisk systems, UK Diana Roman CARISMA, Brunel University and OptiRisk systems, UK Ritesh Kumar Indian Institute of Management, Calcutta, India. Outline.

893 views • 50 slides

Pore Structure Analysis of Advanced Pharmaceutical Products

Pore Structure Analysis of Advanced Pharmaceutical Products. Dr. Akshaya Jena and Dr. Krishna Porous Materials, Inc. 83 Brown Road, Ithaca, NY 14850. Topics. Importance of Porosity in Advanced Pharmaceutical Products Inadequacy of Mercury Intrusion Porosimetry Two novel techniques

992 views • 48 slides

841 views • 46 slides

EXTREME VALUES, COPULAS AND GENETIC MAPPING

EXTREME VALUES, COPULAS AND GENETIC MAPPING. Bojan Basrak Department of Mathematics, University of Zagreb, Croatia. EVA 2005, Gothenburg. Genetic mapping.

516 views • 38 slides

Probability Distributions for Discrete Variables

Probability Distributions for Discrete Variables. Farrokh Alemi Ph.D. Professor of Health Administration and Policy College of Health and Human Services, George Mason University 4400 University Drive, Fairfax, Virginia 22030 703 993 1929 falemi@gmu.edu. Lecture Outline. What is probability?

444 views • 37 slides

Particle Filters for Mobile Robot Localization

11/24/2006. Particle Filters for Mobile Robot Localization. Instructor: Dr. Shiri Amirkabir University of Technology. Aliakbar Gorji Roborics. Preface. State Space models Bayesian Filters for State estimation Particle Filters Mobile Robot Localization

480 views • 35 slides

Chapter 7: Distribution Strategies CMB 8050 Matthew J. Liberatore

Chapter 7: Distribution Strategies CMB 8050 Matthew J. Liberatore. 7.1 Introduction. Focus on the distribution function. Various possible distribution strategies, and the opportunities and challenges associated with these strategies. Two fundamental distribution strategies:

680 views • 34 slides

Random Variable

Random Variable. A random variable X is a function that assign a real number, X ( ? ), to each outcome ? in the sample space of a random experiment. Domain of the random variable -- S Range of the random variable -- S x

1.3k views • 32 slides

Paul Trap Simulator Experiment (PTSX) *

The Heavy Ion Fusion Virtual National Laboratory. Paul Trap Simulator Experiment (PTSX) *. Ronald C. Davidson, Erik Gilson, Philip Efthimion, Richard Majeski and Hong Qin Plasma Physics Laboratory Princeton University, Princeton NJ, 08543. Fusion Summer Study Snowmass, Colorado

520 views • 30 slides

CSE 221: Probabilistic Analysis of Computer Systems

CSE 221: Probabilistic Analysis of Computer Systems. Topics covered: Course outline and schedule Introduction Event Algebra (Sec. 1.1-1.4). General information. CSE 221 : Probabilistic Analysis of Computer Systems Instructor : Swapna S. Gokhale Phone : 6-2772.

296 views • 29 slides

Probability theory

Probability theory. Much inspired by the presentation of Kren and Samuelsson. 3 view of probability. Frequentist Mathematical Bayesian (knowledge-based). Sample space.

515 views • 27 slides

A New Gas-Kinetic Scheme for Multifluid Flows

MNMCFF2014. A New Gas-Kinetic Scheme for Multifluid Flows. Qibing Li Department of Engineering Mechanics, Tsinghua University, Beijing 100084. lqb@tsinghua.edu.cn. 2014.5 Beijing. Content. Introduction Gas-kinetic scheme Gas-kinetic scheme for multifluid flow Numerical tests

395 views • 26 slides

Review of Basic Probability and Statistics

Review of Basic Probability and Statistics. ISE525: Spring 10. Random Variables and Their Properties. Experiment : a process whose outcome is not known with certainty. Set of all possible outcomes of an experiment is the sample space. Outcomes are sample points in the sample space.

679 views • 23 slides

Random Variables and Probabilities

Random Variables and Probabilities. Dr. Greg Bernstein Grotto Networking. www.grotto-networking.com. Outline. Motivation Free (Open Source) References Sample Space, Probability Measures, Random Variables Discrete Random Variables Continuous Random Variables Random variables in Python.

356 views • 22 slides

On the Applicability of the Wang Transform for Pricing Financial Risks

On the Applicability of the Wang Transform for Pricing Financial Risks. Antoon Pelsser ING - Corp. Insurance Risk Mgt. Erasmus University Rotterdam http://www.few.eur.nl/few/people/pelsser. General framework for pricing risks Inspired by Black-Scholes pricing for options

220 views • 17 slides

Outline: Independence. Odds ratios. Random variables. Distribution function, pmf, density. Expected value .

Outline: Independence. Odds ratios. Random variables. Distribution function, pmf, density. Expected value . Independence: P(B | A) = P(B) (and vice versa) [so, when independent, P(A&B) = P(A)P(B|A) = P(A)P(B).] Reasonable to assume the following are independent:

456 views • 11 slides

APPENDIX C P ROBABILITY T HEORY

Slides for Introduction to Stochastic Search and Optimization ( ISSO ) by J. C. Spall. APPENDIX C P ROBABILITY T HEORY.

607 views • 5 slides