User:Faridani

This user is a PhD student in the field of operations research at Berkeley. He usually contributes to the following general topics:
 * Stochastic Processes
 * Optimization Algorithms
 * Python Programming
 * Micro Electro Mechanical Systems

Kaveh Zamani's Funcrasing

Contributions
At this moment, He is contributing to the following articles:
 * Poisson process
 * Counting process
 * Closure problem
 * Modeling point processes in R
 * Poisson regression::Implementations
 * Poisson regression in R :: later merged with Poisson regression
 * spatial Poisson regression
 * Poisson hidden Markov model
 * Semi-Markov process
 * Continuous knapsack problem
 * Voronoi diagram
 * Biogas
 * Markov chain
 * Calculating demand forecast accuracy need to clean up the commercial ads occasionally

Social Network Analysis and Text Mining
 * Jon Kleinberg
 * Lesk algorithm
 * Stemming

Production and Logistics Sciences:
 * Material Requirements Planning
 * Dynamic lot size model
 * Economic order quantity
 * Economic production quantity
 * Reorder point
 * Reorder quantity
 * Stock-keeping unit

User Interfaces:
 * Pie menu
 * Bill Buxton
 * Fitts's law

Entrepreneurship:
 * Honest Tea

Other contributions:
 * Judith Donath
 * Institute for the Future
 * Doe Memorial Library
 * TEDxSF
 * Stanford R. Ovshinsky

People:
 * Andrew Rudd

User boxes
 * Template:User OR

To Do

 * The definition of Bordered Hessian is extremely confusing I suggest using the definition used in Luenberger's book "Linear and Nonlinear Programming" I am adding it to my todo list. Will correct it soon. --Max Allen G (talk)
 * Multidimensional scaling
 * Zero inventory model
 * Principal components analysis
 * Black–Scholes
 * Modern portfolio theory
 * IronPython
 * Extreme Programming
 * PyUnit
 * Wald test
 * Computational learning theory
 * Slope One

To Learn

 * Partially observable Markov decision process
 * Reinforcement Learning
 * good intro to POMDP

Stochastic Analysis

 * SAS/INSIGHT
 * generalized linear model
 * Poisson regression
 * Poisson regression in MATLAB
 * Poisson regression in SAS
 * Generalized linear model in R
 * generalized linear model in MATLAB
 * generalized linear model in SAS
 * Generalized linear model in SPSS

Poisson Regression in SPSS

 * 1) Sorting in SPSS
 * 2) Poisson regression in SPSS
 * 3) Annotated SPSS Output

2D Spatial Statistical Analysis
Generalized Linear Models: logistic regression, Poisson regression, etc.

Friends

 * [User:Vantelimus]


 * [User:Michael_Hardy]


 * [User:Melcombe]


 * [User:Mpdelbuono]

Useful Stuff
Use # for auto numbering, * for bullets use. When you want the text and the link to be different use this control control

Multicol

For codes This is the table I usually use:

Poisson regression in R
The R function for fitting a generalized linear model is glm. A Poisson regression is done when a counting process is being observed.

Syntax
fits a model $$Y_i$$ → Poisson($$\mu_i$$), where log($$\mu_i$$) = $$X_i$$. setting family=poisson.

The following code does the Poisson regression in R

where the file  is defined as

For more information about  in   type