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Showing result 1 - 5 of 6 essays matching the above criteria.

  1. 1. Failure Probability and Lifetime Estimation for Industrial Robots : A Logistic Regression and Lifetime Analysis Approach

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Erik Fahlbeck Carlsson; Martin Herbert; [2023]
    Keywords : Lifetime Analysis; Logistic regression; Prediction; Lifetime estimation; Industrial robots; Livslängdsanalys; Logistisk regression; Prediktion; Livslängdsestimering; Industriella robotar;

    Abstract : The ability to handle and process data for information extraction is getting more and more important. Using extracted data from the business to improve productivity is seen as an important part in developing the business processes. In this thesis, industrial robots and their survival times are analyzed. READ MORE

  3. 2. Deep Learning Approach for Time- to-Event Modeling of Credit Risk

    University essay from KTH/Matematisk statistik

    Author : Mehnaz Kazi; Natalija Stanojlovic; [2022]
    Keywords : Survival Analysis; Credit Risk; Credit Scoring; Time-To-Event; Default Probability; Överlevnadsanalys; Kreditrisk; Kreditprövning; Tid-till-utfall; Sannolikhet för fallissemang;

    Abstract : This thesis explores how survival analysis models performs for default risk prediction of small-to-medium sized enterprises (SME) and investigates when survival analysis models are preferable to use. This is examined by comparing the performance of three deep learning models in a survival analysis setting, a traditional survival analysis model Cox Proportional Hazards, and a traditional credit risk model logistic regression. READ MORE

  4. 3. Variable selection for the Cox proportional hazards model : A simulation study comparing the stepwise, lasso and bootstrap approach

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Anna Ekman; [2017]
    Keywords : ;

    Abstract : In a regression setting with a number of measured covariates not all may be relevant to the response. By reducing the numbers of covariates included in the final model we could improve its prediction accurarcy as well as making it easier to interpret. READ MORE

  5. 4. A Comparsion of Multiple Imputation Methods for Missing Covariate Values in Recurrent Event Data

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Zhao Huo; [2015]
    Keywords : Missing data; Multiple imputation; Missing covariates; Recurrent event data; Cox PH model; PWP model;

    Abstract : Multiple imputation (MI) is a commonly used approach to impute missing data. This thesis studies missing covariates in recurrent event data, and discusses ways to include the survival outcomes in the imputation model. READ MORE

  6. 5. Surviving Breast Cancer: A study of cancer recurrence and mortality after mastectomy in postmenopausal women receiving radiotherapy and Tamoxifen

    University essay from Lunds universitet/Statistiska institutionen

    Author : Oxana Tarassiouk; Rebecca Rylance; [2010]
    Keywords : Breast cancer; competing risks; Cox PH; radiotherapy; subdistribution hazard; Tamoxifen; survival analysis; Mathematics and Statistics;

    Abstract : This paper analyzes mortality, cancer recurrence (loco-regional, other types of cancer and distant) and the impact of progesterone status on the effect of Tamoxifen using survival analysis methods. The data consists of 258 postmenopausal women from the Southern Sweden health care region with estrogen positive receptor status receiving radiotherapy, Tamoxifen and a combination of those after mastectomy. READ MORE