代码搜索：binomial
找到约 467 项符合「binomial」的源代码
代码结果 467
www.eeworm.com/read/174160/9605642
readme
###############
Description:
Small routines for MATLAB to generate random numbers from various
handy distributions: binomial, geometric, Pareto etc.
The detailed documentation can be found in
www.eeworm.com/read/334240/12615882
index
anova.mix ANOVA Tables for Mixture Model Objects
as.mixdata Mixed Data
bindat Grouped Binomial Data
binpar Starting Values of Parameters
www.eeworm.com/read/361765/10036972
cc mcmchierei.cc
// fits Wakefield's hierarchical model for ecological inference using
// Wakefield's normal approximation to the binomial convolution likelihood
// and slice sampling and Gibbs sampling to sample from
www.eeworm.com/read/266535/11220610
cc california.cc
// Problem California Jones and the Gate to Freedom
// Algorithm Index of Combination, Binomial Coefficients
// Runtime O(n^2)
// Author Walter Guttmann
// Date 06.12.1999
#include
www.eeworm.com/read/334240/12615888
rd binpar.rd
\name{binpar}
\alias{binpar}
\title{Starting Values of Parameters for the Binomial Data Set}
\usage{data(binpar)}
\description{
Starting values of parameters for fitting a mixture distribution to
www.eeworm.com/read/162188/10328044
src cmlnegbn.src
/*
** cmlnegbn.src CMLNegbin - Constrained Negative Binomial Regression Model
** (Truncation-at-zero and Variance Functions Optional)
**
** (C) Copyright 1994-1995 Aptech Syste
www.eeworm.com/read/482374/6623674
src cmlnegbn.src
/*
** cmlnegbn.src CMLNegbin - Constrained Negative Binomial Regression Model
** (Truncation-at-zero and Variance Functions Optional)
**
** (C) Copyright 1994-1995 Aptech Syste
www.eeworm.com/read/433114/8545309
m binsmooth.m
function avin=binsmooth(in,dist)
% Function computes a binomial-weighted average over "dist" samples of the
% columns of matrix "in". "dist" must be greater than or equal to 1 and should
% be an odd
www.eeworm.com/read/444358/7613557
m examplecrr.m
%% Pricing Derivatives Securities using Matlab
%
% This demo illustrates how to price a portfolio of equity vanilla options
% using a binomial tree and the Black-Scholes formula.
%% Create th
www.eeworm.com/read/245849/12777769
m binsmooth.m
function avin=binsmooth(in,dist)
% Function computes a binomial-weighted average over "dist" samples of the
% columns of matrix "in". "dist" must be greater than or equal to 1 and should
% be an odd