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Multinomial theorem
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1	0.1 mlogit: Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values Use the multinomial logit distribution to model unordered categorical variables. The dependent variable may be in the Add to Reading List Source URL: perso.md2t.eu Language: English - Date: 2011-03-08 17:52:46 Actuarial science Categorical data Multinomial logit Statistical models Multinomial distribution Logistic regression Generalized linear model Probability distribution Gauss–Markov theorem Statistics Regression analysis Econometrics
2	CS109A Notes for LectureAssignments With Replacements We are given n \items," to each of which we must assign one of k \values." Each value may be used any number of Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2008-09-19 00:58:03 Inductive reasoning Mathematical induction Mathematical logic Proof theory Integer sequences Binomial coefficient Multinomial theorem Mathematics Combinatorics Mathematical proofs
3	1 Lecture 6. Order Statistics 6.1 The Multinomial Formula Suppose we pick a letter from {A, B, C}, with P (A) = p1 = .3, P (B) = p2 = .5, P (C) = p3 = .2. If we do this independently 10 times, we will ﬁnd the probabil Add to Reading List Source URL: www.math.uiuc.edu Language: English - Date: 2013-08-30 15:52:10 Variance Central limit theorem Moment Expected value Convergence of random variables Gamma distribution Law of large numbers Statistics Mathematical analysis Probability theory
4	Virtual Laboratories > 0. Foundations >[removed][removed]Combinatorial Structures The purpose of this section is to study several combinatorial structures that are of basic importance in probability. Permutat Add to Reading List Source URL: www.math.uah.edu Language: English - Date: 2014-07-11 06:44:27 Binomial coefficient Combination Multinomial theorem Permutation Combinatorial proof Factorial Multiset Pochhammer symbol Order statistic Mathematics Combinatorics Discrete mathematics
5	The asymptotic minimax risk for the estimation of constrained binomial and multinomial probabilities Dietrich Braess Ruhr-Universit¨at Bochum Fakult¨at f¨ ur Mathematik Add to Reading List Source URL: homepage.rub.de Language: English - Date: 2004-07-22 07:34:56 Decision theory Bayes estimator Loss function Minimax estimator Bias of an estimator Kullback–Leibler divergence Minimax Estimator Hájek–Le Cam convolution theorem Statistics Estimation theory Statistical theory
6	Where does Combinatorial Analysis fit in? David Bressoud Macalester College (1) What’s in chapter CM (2) My favorite bits of Combinatorial Analysis Add to Reading List Source URL: www.ima.umn.edu Language: English - Date: 2002-07-19 10:05:01 Number theory Enumerative combinatorics Partition Binomial coefficient Prime number Catalan number Multinomial theorem Factorial Number Mathematics Integer sequences Combinatorics
7	3 Generalized Multinomial Theorem 3.1 Binomial Theorem Theorem[removed]If x1, x2 Add to Reading List Source URL: fractional-calculus.com Language: English - Date: 2013-11-10 10:09:14 Combinatorics Multinomial theorem Binomial theorem Binomial series Mathematics Mathematical analysis Binomial coefficient
8	ANALYSIS OF A BOSE-EINSTEIN MARKOV CHAIN Persi Diaconis Department of Mathematics and Statistics Add to Reading List Source URL: www-stat.stanford.edu Language: English - Date: 2004-02-04 17:32:57 Markov models Markov processes Markov chain Bose–Einstein statistics Pólya enumeration theorem Multinomial distribution Prime-counting function Permutation Stochastic matrix Mathematics Combinatorics Statistics

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