Find Jobs
Hire Freelancers

Development of Logistic Regression Model

$500-5000 USD

Closed
Posted over 14 years ago

$500-5000 USD

Paid on delivery
Project Title: Development of Logistic Regression Model Primary Skill: Statistical Algorithm Development Additional Skills: Statistical knowledge of predictive modeling algorithms for handling large data is essential. Project Description: We need professional to develop the following Predictive model for modeling large data coming from Banking, finance, Insurance, Telecommunication and such other fields. ## Deliverables Project Description: We need professional to develop the following Predictive model for modeling large data coming from Banking, finance, Insurance, Telecommunication and such other fields. Multinomial/ Ordinal and conditional Logistic regression Model Feature The set up for the Logistic Regression development is: One response variable of multinomial (which includes binary as a special case)/ordinal type ( for ex., Customer Satisfaction (CSAT) response measured as Highly Satisfied, Satisfied, Less satisfied, or Credit card defaulters/ non-defaulters etc. ) with several predictor variables (may be continuous or categorical). Usually the data size is large and it will be stored in EXCEL or ASCII format. Assume that column represents a response variable while Rows indicate the cases. Requirement #01 Develop a statistical algorithm to fit the Multinomial Logistic regression model as well as corresponding JAVA implementation. Your algorithm should describe, among other things, a. Computational procedure for computing the sum of squares matrix based on regressors and related intermediate statistical results. Provision to include interaction effects between predictors. b. A suitable numerical method of estimation to estimate the parameters of the multinomial regression model along with convergence criterion. Your method should be able to handle large data. c. Computations of the relevant statistics such as standard errors, Wald’s statistic, and standardized estimates along with their p-values , odds ratio and confidence interval of odds ratio and pseudo R square . d. Stepwise method for selection of important variables in the model. e. Final model with model validation measures such as K-fold cross-validation. f. Test case results to demonstrate how the program behaves at extreme values, Invalid inputs etc. Your program should work correctly for large data. Include at least one example to demonstrate working of the program. g. Develop a suitable JAVA code corresponding to the above procedures without using any of the third-party library functions. Requirement #02 Develop suitable algorithm and corresponding Java code to perform Steps (a) to (f) for Ordinal logistic regression without using any of the third-party library functions. Requirement #03 Develop a computation method and corresponding JAVA code for ROC computations and plot of ROC. Time Line: Time to develop a statistical algorithm and its Java implementation should not exceed Two months. Budget: $4000-$ 6000
Project ID: 3036711

About the project

6 proposals
Remote project
Active 14 yrs ago

Looking to make some money?

Benefits of bidding on Freelancer

Set your budget and timeframe
Get paid for your work
Outline your proposal
It's free to sign up and bid on jobs
6 freelancers are bidding on average $3,019 USD for this job
User Avatar
See private message.
$5,100 USD in 14 days
4.2 (10 reviews)
5.8
5.8
User Avatar
See private message.
$944.35 USD in 14 days
5.0 (2 reviews)
1.9
1.9
User Avatar
See private message.
$3,400 USD in 14 days
0.0 (0 reviews)
0.0
0.0
User Avatar
See private message.
$4,420 USD in 14 days
0.0 (0 reviews)
0.0
0.0
User Avatar
See private message.
$425 USD in 14 days
0.0 (0 reviews)
0.0
0.0
User Avatar
See private message.
$3,825 USD in 14 days
0.0 (5 reviews)
0.0
0.0

About the client

Flag of UNITED STATES
United States
0.0
0
Member since Dec 23, 2010

Client Verification

Thanks! We’ve emailed you a link to claim your free credit.
Something went wrong while sending your email. Please try again.
Registered Users Total Jobs Posted
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2024 Freelancer Technology Pty Limited (ACN 142 189 759)
Loading preview
Permission granted for Geolocation.
Your login session has expired and you have been logged out. Please log in again.