Statistical Engineering – Student Projects

Capstone Projects

Design of a Prediction System for Evaluating the Success of Telemarketing Campaign Deposits for Customers of BANKUNI Company Using Random Forest and Naïve Bayes Techniques  Download Download
Design of a Two-Stage Multilevel Regression Model with Truncation and Censoring of the Dependents Variables  Download Download
Design of a Fast Food Managing Application Using SQL Data Base  Download Download
Design of an Inventory Management System for a Small-Medium Size Enterprise  Download Download
Comparison Between Neural Networks and Decision Trees Methods for Predicting the Criminal Behavior of Young People Using Information from the National Census 2016  Download Download
Design of a Statistical System for Predicting the Quantity and Characteristics of Non-Performing Loans Using the Method of Bootstrap with Crossed Validation, and Support Vector Machines  Download Download
Design of an Statistical Systems for Classifying of Financial Fraud Using Neural Networks  Download Download
Identification of Main Factors and Variables Describing the Quantity and Distribution of Fatal Vehicular Accidents in Metropolitan City of Lima Using data Mining Techniques: Random Forest, Boosting, Decision Trees.  Download Download

Student Projects

Application of Asymmetric Logarithmic Regression Method, Logit Kernel Regression, and Support Vector Machine for Predicting the Satisfaction Level of Clients of Telecommunication Companies  Download Download
Comparison of Cross Selling Models with Symmetrical and Asymmetrical Links with Classical and Bayesian Estimation for Predicting Client Propensity for Acquiring Credit Cards of Financial Bank Corp.  Download Download
Comparison of Classic Bootstrap Regression and Bayesian Bootstrap Regression Methods  Download Download
Implementation of a VAR Bayesian Model for Predicting Commodities Price and GNP Growing Rate  Download Download
Prediction of Cellphone Losses in Sell-Points of Telecom Companies Using Logistic Regression Model and Random Forest Technique  Download Download

Capstone Projects  Download Download