Keywords: Probability Models (2)

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Introduction to Probability and Statistics, Spring 2005

Introduction to Probability and Statistics, Spring 2005

Elementary introduction with applications. Basic probability models. Combinatorics. Random variables. Discrete and ... (more)

Elementary introduction with applications. Basic probability models. Combinatorics. Random variables. Discrete and continuous probability distributions. Statistical estimation and testing. Confidence intervals. Introduction to linear regression. (less)

Subject:
Mathematics and Statistics
Material Type:
Assessments
Full Course
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Syllabi
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
Panchenko, Dmitry
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Probabilistic Systems Analysis and Applied Probability, Fall 2010

Probabilistic Systems Analysis and Applied Probability, Fall 2010

Welcome to 6.041/6.431, a subject on the modeling and analysis of random ... (more)

Welcome to 6.041/6.431, a subject on the modeling and analysis of random phenomena and processes, including the basics of statistical inference. Nowadays, there is broad consensus that the ability to think probabilistically is a fundamental component of scientific literacy. For example: The concept of statistical significance (to be touched upon at the end of this course) is considered by the Financial Times as one of "The Ten Things Everyone Should Know About Science". A recent Scientific American article argues that statistical literacy is crucial in making health-related decisions. Finally, an article in the New York Times identifies statistical data analysis as an upcoming profession, valuable everywhere, from Google and Netflix to the Office of Management and Budget. The aim of this class is to introduce the relevant models, skills, and tools, by combining mathematics with conceptual understanding and intuition. (less)

Subject:
Mathematics and Statistics
Science and Technology
Social Sciences
Material Type:
Assessments
Homework and Assignments
Lecture Notes
Readings
Syllabi
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
Bertsekas, Dimitri
Tsitsiklis, John
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2002 llaF ,gnivloS melborP gnireenignE dna sretupmoC ot noitcudortnI

.desu si egaugnal gnimmargorp avaJ ehT .gninnalp dna ,tnemeganam ,ecneics ,gnireenigne ni ... (more)

.desu si egaugnal gnimmargorp avaJ ehT .gninnalp dna ,tnemeganam ,ecneics ,gnireenigne ni smelborp gnivlos rof seuqinhcet gnipoleved no si sisahpmE .scipot decnavda detceles dna scihparg retupmoc ,gnihcraes dna gnitros ,serutcurts atad ,sdohtem laciremun ,secafretni resu lacihparg ,stpecnoc gnimmargorp revoc smelborp gnimmargorp ylkeeW .esruoc eht fo sucof eht si tnempoleved dna ngised erawtfos detneiro-tcejbO .snoitacilppa cifitneics dna gnireenigne rof sdohtem lanoitatupmoc dna tnempoleved erawtfos latnemadnuf stneserp esruoc sihT (less)

Subject:
Science and Technology
Material Type:
Assessments
Full Course
Homework and Assignments
Lecture Notes
Syllabi
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
George Kocur
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