{"id":169,"date":"2015-04-29T21:15:01","date_gmt":"2015-04-30T02:15:01","guid":{"rendered":"http:\/\/acreditacion.uni.edu.pe\/?page_id=169"},"modified":"2021-07-12T19:09:06","modified_gmt":"2021-07-13T00:09:06","slug":"projects","status":"publish","type":"page","link":"https:\/\/acreditacion.uni.edu.pe\/es\/statistical\/projects\/","title":{"rendered":"Ingenier\u00eda Estad\u00edstica – Proyectos del Estudiante"},"content":{"rendered":"

Senior Design Projects<\/strong>
\n

\n\n\n\n\n\n\n\n
Design of a Statistical Processing System for Analyzing the Evolution of COVID-19 in Peru by Estimating the Reproducibility Index and Mortality Indicators.<\/strong><\/td>\n\" Download <\/span><\/a><\/td>\n<\/tr>\n
Design of a Statistical Processing System for Analyzing the Impact of COVID-19 on the Consumer Price Index CPI in Lima City.<\/strong><\/td>\n\" Download <\/span><\/a><\/td>\n<\/tr>\n
Design of a Stochastic Processing System for the Analysis and Identification of Seismic Patterns in Peru Regions in the Period 2008-2018 Using a Semi-Markov Model<\/strong><\/td>\n\" Download <\/span><\/a><\/td>\n<\/tr>\n
Design of a Statistical Processing System for the Quantile Regression Analysis of the Distribution of Total Monthly Household Expenditures in Peru Regions.<\/strong><\/td>\n\" Download <\/span><\/a><\/td>\n<\/tr>\n
Design of a Statistical Processing System for the Prediction of Children Anemia Up to 5 Years Old Using a Logistics Regression Model.<\/strong><\/td>\n\" Download <\/span><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
\nStudent Projects<\/strong><\/p>\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u00a0Design 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<\/strong><\/td>\n\u00a0\" Download <\/span><\/a><\/td>\n<\/tr>\n
\u00a0Design and Construction of Predictive Models that Fit the Growth Curve for Weight of Marine Species of the VitaPro Company \u2013 ALICORP Group<\/strong><\/td>\n\u00a0\" Download <\/span><\/a><\/td>\n<\/tr>\n
Design of a Prediction System for Evaluating the Success of Telemarketing Campaign Deposits for Customers of BANKUNI Company Using Random Forest and Na\u00efve Bayes Techniques<\/strong><\/td>\n\" Download <\/span><\/a><\/td>\n<\/tr>\n
Design of a Fast Food Managing Application Using SQL Data Base <\/strong><\/td>\n\" Download <\/span><\/a><\/td>\n<\/tr>\n
Design of an Inventory Management System for a Small-Medium Size Enterprise<\/strong><\/td>\n\" Download <\/span><\/a><\/td>\n<\/tr>\n
Implementation of a VAR Bayesian Model for Predicting Commodities Price and GNP Growing Rate\u00a0<\/strong><\/td>\n\" Download <\/span><\/a><\/td>\n<\/tr>\n
\u00a0Comparison Between Neural Networks and Decision Trees Methods for Predicting the Criminal Behavior of Young People Using Information from the National Census 2016<\/strong><\/td>\n\u00a0\" Download <\/span><\/a><\/td>\n<\/tr>\n
Design of a Two-Stage Multilevel Regression Model with Truncation and Censoring of the Dependents Variables<\/strong><\/td>\n\" Download <\/span><\/a><\/td>\n<\/tr>\n
\u00a0Design of an Statistical Systems for Classifying of Financial Fraud Using Neural Networks\u00a0<\/strong><\/td>\n\u00a0\" Download <\/span><\/a><\/td>\n<\/tr>\n
\u00a0Identification 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.<\/strong><\/td>\n\u00a0\" Download <\/span><\/a><\/td>\n<\/tr>\n
Application of Asymmetric Logarithmic Regression Method, Logit Kernel Regression, and Support Vector Machine for Predicting the Satisfaction Level of Clients of Telecommunication Companies \u00a0<\/strong><\/td>\n\" Download <\/span><\/a><\/td>\n<\/tr>\n
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.<\/strong><\/td>\n\" Download <\/span><\/a><\/td>\n<\/tr>\n
Comparison of Classic Bootstrap Regression and Bayesian Bootstrap Regression Methods<\/strong><\/td>\n\" Download <\/span><\/a><\/td>\n<\/tr>\n
Prediction of Cellphone Losses in Sell-Points of Telecom Companies Using Logistic Regression Model and Random Forest Technique<\/strong><\/td>\n\" Download <\/span><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/p>\n
\n\n\n\n
Capstone Projects<\/strong><\/td>\n\" Download <\/span><\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Senior Design Projects Student Projects<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":48,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-169","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/acreditacion.uni.edu.pe\/es\/wp-json\/wp\/v2\/pages\/169","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/acreditacion.uni.edu.pe\/es\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/acreditacion.uni.edu.pe\/es\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/acreditacion.uni.edu.pe\/es\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/acreditacion.uni.edu.pe\/es\/wp-json\/wp\/v2\/comments?post=169"}],"version-history":[{"count":38,"href":"https:\/\/acreditacion.uni.edu.pe\/es\/wp-json\/wp\/v2\/pages\/169\/revisions"}],"predecessor-version":[{"id":36346,"href":"https:\/\/acreditacion.uni.edu.pe\/es\/wp-json\/wp\/v2\/pages\/169\/revisions\/36346"}],"up":[{"embeddable":true,"href":"https:\/\/acreditacion.uni.edu.pe\/es\/wp-json\/wp\/v2\/pages\/48"}],"wp:attachment":[{"href":"https:\/\/acreditacion.uni.edu.pe\/es\/wp-json\/wp\/v2\/media?parent=169"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}