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Probability: more books (100)

Probability, Random Variables and Stochastic Processes by Athanasios Papoulis, S.Unnikrishna Pillai, 2002-01-01

An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd Edition by William Feller, 1968

Probability and Measure, 3rd Edition by Patrick Billingsley, 1995-04-17

Probability and Statistics for Engineering and the Sciences, Enhanced Review Edition by Jay L. Devore, 2008-01-29

Probability and Statistics (4th Edition) by Morris H. DeGroot, Mark J. Schervish, 2011-01-11

A Second Course in Probability by Sheldon M Ross, Erol A Pekoz, 2007-05-01

Student Solutions Manual for Probability & Statistics for Engineers & Scientists by Sharon L. Myers, 2006-08-13

Student's Solution Manual Probability & Statistics by Morris H. DeGroot, Mark J. Schervish, 2002-05-13

Probability: The Science of Uncertainty (Pure and Applied Undergraduate Texts) by Michael A. Bean, 2009-02-19

Elementary Probability Theory: With Stochastic Processes and an Introduction to Mathematical Finance (Undergraduate Texts in Mathematics) by K. L. Chung, Farid AitSahlia, 2010-11-02

The Probability Tutoring Book: An Intuitive Course for Engineers and Scientists (and Everyone Else!) by Carol Ash, 1996-10-31

Probability, Statistical Optics, and Data Testing: A Problem Solving Approach (Springer Series in Information Sciences) (Volume 0) by Roy Frieden, 2001-09-06

Applied Probability Models with Optimization Applications (Dover Books on Mathematics) by Sheldon M. Ross, 1992-12-04

The Pleasures of Probability (Undergraduate Texts in Mathematics / Readings in Mathematics) by Richard Isaac, 1995-02-24

lists with details

What Are Statistics, Probability Theory, And Operations Research
Some definitions with a few examples, from the Dept. of Statistics at the Florida State University.
http://stat.fsu.edu/undergrad/statinf2.html

Extractions: Probability theory is the branch of mathematics which develops models for "chance variations" or "random phenomena." It originated as a rigorous discipline when mathematicians of the 17th century began calculating the odds in various games of chance. It was soon realized how to make applications of the theory they developed to the study of errors in experimental measurements and to the study of human mortality (for example, by life insurance companies). Probability theory is now a major branch of mathematics with widespread applications in science and engineering. A few examples are: modeling the occurrence of sunspots to improve radio communication, modeling and control of congestion on highways, reliability theory to evaluate the chance that a space vehicle will function throughout a mission. Statistics is the mathematical science of utilizing data about a population in order to describe it usefully and to draw conclusions and make decisions. The population may be a community, an organization, a production line, a service counter, or a phenomenon such as the weather. Statisticians develop models based on probability theory. They determine which probability model is correct for a given type of problem and they decide what kinds of data should be collected and examined. "Theoretical" statistics concerns general classes of problems and the development of general methodology. "Applied" statistics concerns the application of the general methodology to particular problems. This often calls for use of techniques of computer-based data analysis.
THE ANNALS OF PROBABILITY
THE ANNALS. of. probability. AN OFFICIAL JOURNAL OF THE. Note that the Annals ofprobability and the Annals of Applied probability are listed under Statistics.
http://www.math.wisc.edu/~annprob/

Extractions: I NSTITUTE OF M ATHEMATICAL ... TATISTICS As of January 1, 2003, Steven Lalley, Department of Statistics, University of Chicago, is the new editor of the Annals All new submissions should be sent to him. (See the new Annals web page for submission information.) All papers submitted prior to January 1, 2003 will continue to be handled by the 2000-2002 editorial board, and all correspondence regarding these papers should continue to be sent to annprob@math.wisc.edu 2000-2002 Editorial Staff Electronic Access to Recent Issues of the Annals This access is provided through Project Euclid. If your institution is a subscriber and you are using an institutional computer, you should have access. If you are a subscriber to any IMS journal, you should have access, but you must register. You should have received information on how to register at the time the journal first became available. For further information on access see the IMS web page. Electronic Access to Past Issues of the Annals This access is provided through the electronic journal storage project JSTOR. You may not have access to JSTOR unless your institution is a subscriber.
Infinite Dimensional Analysis, Quantum Probability And Related Topics (IDAQP)
World Scientific. Contents, abstracts of all volumes; full text to institutional subscribers.
http://www.worldscinet.com/idaqp/idaqp.shtml

Extractions: Infinite Dimensional Analysis, Quantum Probability and Related Topics (IDAQP) In the past few years the fields of infinite dimensional analysis and quantum probability have undergone increasingly significant developments and have found many new applications, in particular, to classical probability and to different branches of physics. The number of first-class papers in these fields has grown at the same rate. This is currently the only journal which is devoted to these fields. More Feature Articles (Free Online Sample Issue) Volume 5, Number 1, March 2002 Click here to access the full text articles now. On the EPR-Chameleon-Experiment
Project Euclid Journals
General Applied probability. On Dufresne's relation between the probability lawsof exponential functionals of Brownian motions with different drifts.
http://projecteuclid.org/Dienst/UI/1.0/Journal?authority=euclid.aap
Computation, Combinatorics And Probability
Research programme at the Isaac Newton Institute, Cambridge UK. Themes include Randomised algorithms; Phase transitions in statistical physics and computer science; Random graphs and structures. August December 2002.
http://www.newton.cam.ac.uk/programs/CMP/cmp.html

Extractions: Professor Mark Jerrum (Edinburgh) , Dr Peter Winkler (Bell Labs) As Computer Science has matured as a discipline, its relationships with mathematics have become both more wide ranging and more profound. The programme will explore two particularly fruitful interfaces between computer science and mathematics, namely those with combinatorics and probability theory. Although no interdisciplinary work within the broad area delineated by the title will be excluded, the following themes will receive special emphasis. Randomised algorithms. The design and analysis of algorithms that make random choices; also deterministic algorithms when run on random instances.The theoretical basis here includes the study of parameters connected with random walks on graphs and the relationships between them.
Project Euclid Journals
For nearly four decades, the Journal of Applied probability has provideda forum for original research and reviews in applied probability.
http://projecteuclid.org/Dienst/UI/1.0/Journal?authority=euclid.jap
Mathinfo2000
Aims to bring together researchers in theoretical computer science and mathematics. Topics include trees, stochastic processes, large deviations, branching processes, random walks, discrete probability, enumerative and analytical combinatorics, analysis of algorithms, performance evaluation, and combinatorial optimization. Versailles, France, September 1820, 2000.
http://www.prism.uvsq.fr/complex/confs/mathinfo2000/index-anglais.html
Probability Theory As Extended Logic
A monumental online book by the late ET Jaynes on Bayesian inference. Also has a number of related Category Science Math Statistics Bayesian AnalysisLouis probability Theory As Extended Logic. Last Modified 1213-2002 Tom LoredoWe have Tom Loredo's excellent tutorial on probability theory.
http://bayes.wustl.edu/

Extractions: Last Modified Edwin T. Jaynes was one of the first people to realize that probability theory, as originated by Laplace, is a generalization of Aristotelian logic that reduces to deductive logic in the special case that our hypotheses are either true or false. This web site has been established to help promote this interpretation of probability theory by distributing articles, books and related material. As Ed Jaynes originated this interpretation of probability theory we have a large selection of his articles, as well as articles by a number of other people who use probability theory in this way: E. T. Jaynes: articles , and the first three chapters from Jaynes' book on probability theory are now online as a pdf file or as a postscript file. As the publication date for Jaynes' book approaches we will update these pages to point you to the appropriate web sites to purchase the final copy of the book. A typed publication quality version of his unpublished book titled "Probability Theory, With Applications in Science and Engineering" that was being prepared for publication in the mid 1970's is available. Additionally, the most recent copy of his
Probabilistic Causation
Probabilistic Causation designates a group of philosophical theories that aim to characterize the relationship between cause and effect using the tools of probability theory. A primary motivation for the development of such theories is the desire for a theory of causation that does not presuppose physical determinism.
http://plato.stanford.edu/entries/causation-probabilistic/

Extractions: SEP ceteris paribus clause more precise. This article traces these developments, as well as recent, related developments in causal modeling. Issues within, and objections to, probabilistic theories of causation will also be discussed. an object, followed by another, and where all the objects similar to the first, are followed by objects similar to the second Suggested Readings: Hume (1748), especially section VII. The first difficulty is that most causes are not invariably followed by their effects. For example, it is widely accepted that smoking is a cause of lung cancer, but it is also recognized that not all smokers develop lung cancer. (Likewise, not all non-smokers are spared the ravages of that disease.) By contrast, the central idea behind probabilistic theories of causation is that causes raise the probability of their effects; an effect may still occur in the absence of a cause or fail to occur in its presence. Thus smoking is a cause of lung cancer, not because all smokers develop lung cancer, but because smokers are
Applied Probability Society Of INFORMS
A subdivision of the Institute for Operations Research and the Management Sciences (INFORMS) concerned Category Science Math probability
http://www.ie.psu.edu/aps/
Theory Of Probability And Its Applications
Theory of probability and Its Applications. Edited by Will Klump. Theoryof probability and Its Applications is a translation of the
http://www.siam.org/journals/tvp/Tvp.htm

Extractions: Theory of Probability and Its Applications is a translation of the Russian journal Teoriya Veroyatnostei i ee Primeneniya, which contains papers on the theory and application of probability, statistics, and stochastic processes. Click HERE for the latest issues. Questions/Comments about our Web pages? Use our suggestion box or send e-mail to the Online Services Manager. About SIAM Membership Journals SIAM News ...
Law, Probability And Risk
http://www3.oup.co.uk/lawprj/

Extractions: Select a journal... Adelphi Papers African Affairs Age and Ageing Alcohol and Alcoholism American Journal of Epidemiology American Law and Economics Review American Literary History Annals of Botany Annals of Occupational Hygiene Annals of Oncology Applied Linguistics Australasian Journal of Philosophy Behavioral Ecology Bioinformatics Biometrika Biostatistics BJA: British Journal of Anaesthesia BJA: CEPD Reviews Brain Brief Treatment and Crisis Intervention British Journal of Aesthetics British Journal of Criminology British Jnl. for the Philosophy of Sci. British Journal of Social Work British Medical Bulletin BWP Update Cambridge Journal of Economics Cambridge Quarterly Carcinogenesis Cerebral Cortex Chemical Senses Classical Quarterly Classical Review Clinical Psychology: Science and Practice Communication Theory Community Development Journal Computer Bulletin Computer Journal Contemporary Economic Policy Contributions to Political Economy ELT Journal EMBO Journal Early Music Economic Inquiry English Historical Review Environmental Practice Epidemiologic Reviews ESHRE Monographs Essays in Criticism European Journal of International Law European Journal of Orthodontics European Journal of Public Health European Review of Agricultural Economics European Sociological Review Family Practice Forestry Forum for Modern Language Studies French History French Studies Glycobiology Greece and Rome Health Education Research Health Policy and Planning Health Promotion International History Workshop Journal Holocaust and Genocide Studies Human Communication Research
One Tailed Version Of Chebyshev's Inequality - By Henry Bottomley
Chebyshev's inequality with onetailed and unimodal versions, putting statistical limits on the dispersion of probability distributions.
http://www.btinternet.com/~se16/hgb/cheb.htm

Extractions: Turning inequality into equality Turning inequality into equality Proof of Chebyshev's inequality Proof of one-tailed version of Chebyshev's inequality ... Discussion and a new page with more thoughts Speculation on unimodal PDFs or go to a Mode-Mean inequality or Mode-Median-Mean relationships or some Statistics Jokes written by Henry Bottomley Turning Chebyshev's inequality into an equality becomes
Probability Puzzles
probability. amoeba. You sample one hundred balls with replacement and they are allwhite. What is the probability that all the balls are white? Solution bayes.
http://einstein.et.tudelft.nl/~arlet/puzzles/probability.html

Extractions: A jar begins with one amoeba. Every minute, every amoeba turns into 0, 1, 2, or 3 amoebae with probability 25% for each case ( dies, does nothing, splits into 2, or splits into 3). What is the probability that the amoeba population eventually dies out? Solution An urn contains one hundred white and black balls. You sample one hundred balls with replacement and they are all white. What is the probability that all the balls are white? Solution One urn contains black marbles, and the other contains white or black marbles with even odds. You pick a marble from an urn; it is black; you put it back; what are the odds that you will draw a black marble on the next draw? What are the odds after n black draws? Solution At a movie theater, the manager announces that they will give a free ticket to the first person in line whose birthday is the same as someone who has already bought a ticket. You have the option of getting in line at any time. Assuming that you don't know anyone else's birthday, that birthdays are distributed randomly throughtout the year, etc., what position in line gives you the greatest chance of being the first duplicate birthday? Solution birthday/same.day
AN INTRODUCTION TO PROBABILITY
AN INTRODUCTION TO probability. probability ACTIVITIES Page AuthorJim Albert (c) albert@bayes.bgsu.edu Document http//wwwmath
http://www-math.bgsu.edu/~albert/m115/probability/outline.html
Probability Distributions
Common probability Distributions. This Compendium instead.. A Compendiumof Common probability Distributions. Printing Notes. Compendium
http://www.geocities.com/~mikemclaughlin/math_stat/Dists/Compendium.html

Extractions: Skewed (19) Continuous binary mixtures (17) Discrete distributions (5) Discrete binary mixtures (4) All formulas are shown in their fully-parametrized form, not the standard form. Many of the formulas given are seldom described. Random variate generation is included where feasible. Each (two-page) entry is readily printable in full 600-dpi resolution (see below), and/or The entire file (549K, pdf) may be downloaded and printed to give a complete reference book
Probability
Chapter 4 probability. Other Sites. Contents. Analysis Tools Binomialprobabilities by B. Narasimhan Instructional Demos Normal approximation
http://www.ruf.rice.edu/~lane/hyperstat/probability.html
Probability: What Are Your Chances?-NCES Students' Classroom
Ever wonder how often an event might happen? Try What Are Your Chances?Gain a little knowledge about probability. JavaScript is
http://nces.ed.gov/nceskids/probability/

Extractions: "The probable is what usually happens" - Aristotle. What many people refer to as 'good luck' can actually be explained by a little knowledge about probability and statistics. Our dice game allows you to see how increasing or decreasing the number of dice rolls effects an outcome. So give it a try, choose the number of rolls you would like to make and roll the dice! "It is a truth very certain that when it is not in our power to determine what is true we ought to follow what is most probable" - Descartes Number of Rolls: Try More Activities! Students' Classroom Home Help Site Index ... NCES Home
Probability Sampling
A probability sampling method is any method of sampling that utilizessome form of random selection. In order to have a random selection
http://trochim.human.cornell.edu/kb/sampprob.htm

Extractions: Home External Validity Sampling Terminology Statistical Sampling Terms [ Probability Sampling ] Nonprobability Sampling A probability sampling method is any method of sampling that utilizes some form of random selection . In order to have a random selection method, you must set up some process or procedure that assures that the different units in your population have equal probabilities of being chosen. Humans have long practiced various forms of random selection, such as picking a name out of a hat, or choosing the short straw. These days, we tend to use computers as the mechanism for generating random numbers as the basis for random selection. Before I can explain the various probability methods we have to define some basic terms. These are: N = the number of cases in the sampling frame n = the number of cases in the sample N C n = the number of combinations (subsets) of n from N f = n/N = the sampling fraction That's it. With those terms defined we can begin to define the different probability sampling methods. The simplest form of random sampling is called simple random sampling . Pretty tricky, huh? Here's the quick description of simple random sampling:
HyperStat Online: Probability
Web based materials for teaching statistics
http://davidmlane.com/hyperstat/probability.html

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