Regression models

Part 1 of ebook "An introduction to statistical learning with applications in R" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - Statistical learning; Chapter 3 - Linear regression; Chapter 4 - Classification; Chapter 5 - Resampling methods;...

212p daonhiennhien 03-07-2024 1 1   Download

Part 1 of ebook "Applied predictive modeling" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - A short tour of the predictive modeling process; Chapter 3 - Data pre-processing; Chapter 4 - Overfitting and model tuning; Chapter 5 - Measuring performance in regression models; Chapter 6 - Linear regression and its cousins; Chapter 7 - Nonlinear regression models; Chapter 8 - Regression trees and rule-based models; Chapter 9 - A Summary of solubility models; Chapter 10 - Case study compressive strength of concrete mixtures;...

251p daonhiennhien 03-07-2024 2 1   Download

Part 1 of ebook "Bayesian essentials with R (Second edition)" provides readers with contents including: Chapter 1 - User's manual; Chapter 2 - Normal models; Chapter 3 - Regression and variable selection; Chapter 4 - Generalized linear models;...

151p daonhiennhien 03-07-2024 3 1   Download

Part 1 of ebook "Economic and financial modelling with EViews: A guide for students and professionals" provides readers with contents including: Chapter 1 - Introduction to EViews; Chapter 2 - A guideline for running regression; Chapter 3 - Time series analysis; Chapter 4 - Time series modelling; Chapter 5 - Further properties of time series; Chapter 6 - Economic forecasting using regression; Chapter 7 - Economic forecasting using ARIMA modelling;...

154p daonhiennhien 03-07-2024 1 1   Download

Part 1 of ebook "Essentials of time series for financial applications" provides readers with contents including: Chapter 1 - Linear regression model; Chapter 2 - Autoregressive moving average (ARMA) models and their practical applications; Chapter 3 - Vector autoregressive moving average (VARMA) models; Chapter 4 - Unit roots and cointegration; Chapter 5 - Single-factor conditionally heteroskedastic models, ARCH and GARCH;...

244p daonhiennhien 03-07-2024 3 1   Download

Part 2 of ebook "Introduction to statistics and data analysis: With exercises, solutions and applications in R" provides readers with contents including: Chapter 9 - Inference; Chapter 10 - Hypothesis testing; Chapter 11 - Linear regression; Appendix A - Introduction to R; Appendix B - Solutions to exercises; Appendix C - Technical appendix; Appendix D - Visual summaries;...

272p daonhiennhien 03-07-2024 2 1   Download

Part 1 of ebook "Introductory time series with R" provides readers with contents including: Chapter 1 - Time series data; Chapter 2 - Correlation; Chapter 3 - Forecasting strategies; Chapter 4 - Basic stochastic models; Chapter 5 - Regression;...

131p daonhiennhien 03-07-2024 3 1   Download

Part 1 of ebook "Regression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis (Second edition)" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - General aspects of fitting regression models; Chapter 3 - Missing data; Chapter 4 - Multi-variable modeling strategies; Chapter 5 - Describing, resampling, validating, and simplifying the model; Chapter 6 - R software; Chapter 7 - Modeling longitudinal responses using generalized least squares; Chapter 8 - Case study in data reduction;...

297p daonhiennhien 03-07-2024 1 1   Download

Part 2 of ebook "Regression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis (Second edition)" provides readers with contents including: Chapter 15 - Regression models for continuous Y and case study in ordinal regression; Chapter 16 - Transform-both-sides regression; Chapter 17 - Introduction to survival analysis; Chapter 18 - Parametric survival models; Chapter 19 - Case study in parametric survival modeling and model approximation; Chapter 20 - Cox proportional hazards regression model; Chapter 21 - Case study in cox regressi...

301p daonhiennhien 03-07-2024 2 1   Download

Part 1 of ebook "Statistical learning from a regression perspective (Second edition)" provides readers with contents including: Chapter 1 - Statistical learning as a regression problem; Chapter 2 - Splines, smoothers, and kernels;...

149p daonhiennhien 03-07-2024 2 1   Download

Part 2 of ebook "Statistics and analysis of scientific data (Second edition)" provides readers with contents including: Chapter 8 - Maximum likelihood methods for two-variable datasets; Chapter 9 - Multi-variable regression; Chapter 10 - Goodness of fit and parameter uncertainty; Chapter 11 - Systematic errors and intrinsic scatter; Chapter 12 - Fitting two-variable datasets with bivariate errors; Chapter 13 - Model comparison; Chapter 14 - Monte Carlo methods; Chapter 15 - Introduction to Markov Chains; Chapter 16 - Monte Carlo Markov Chains;...

165p daonhiennhien 03-07-2024 1 1   Download

Part 2 of ebook "Stochastic processes and calculus: An elementary introduction with applications" provides readers with contents including: Chapter 7 - Wiener processes (WP); Chapter 8 - Riemann integrals; Chapter 9 - Stieltjes integrals; Chapter 10 - Ito integrals; Chapter 11 - Ito's lemma; Chapter 12 - Stochastic differential equations (SDE); Chapter 13 - Interest rate models; Chapter 14 - Asymptotics of integrated processes; Chapter 15 - Trends, integration tests and nonsense regressions; Chapter 16 - Cointegration analysis;...

235p daonhiennhien 03-07-2024 1 1   Download

Part 1 of ebook "The elements of statistical learning: Data mining, inference, and prediction (Second edition)" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - Overview of supervised learning; Chapter 3 - Linear methods for regression; Chapter 4 - Linear methods for classification; Chapter 5 - Basis expansions and regularization; Chapter 6 - Kernel smoothing methods; Chapter 7 - Model assessment and selection; Chapter 8 - Model inference and averaging; Chapter 9 - Additive models, trees, and related methods;...

355p daonhiennhien 03-07-2024 2 1   Download

Reproductive health service (RHS) helps for people to have a delighted and safe sex through their life journey. It enables especially for women to go safely through pregnancy and childbirth and provide couples with the best chance of having a healthy infant. Therefore, this study aimed to identify the significant determinants of RHS utilization among undergraduate regular class students in Assosa University by using advanced methodology.

10p vishanshan 27-06-2024 1 1   Download

Depression is prevalent among Operation Enduring Freedom and Operation Iraqi Freedom (OEF/ OIF) Veterans, yet rates of Veteran mental health care utilization remain modest. The current study examined: factors in electronic health records (EHR) associated with lack of treatment initiation and treatment delay; the accuracy of regression and machine learning models to predict initiation of treatment.

10p vishanshan 27-06-2024 3 1   Download

Part 2 of ebook "Uniform across-the-board promotions" provides readers with contents including: Chapter 4 - Adjustment and permanent effects of uniform across the board promotions; Chapter 5 - UABPs - antecedents and consequences on a household level; Chapter 6 - Summary of results;...

46p giangmacvien 22-06-2024 1 1   Download

This study sought to investigate the prognostic value of basement membrane (BM)-associated gene expressions in oral cancer. Methods We harvested and integrated data on BM-associated genes (BMGs), the oral cancer transcriptome, and clinical information from public repositories. After identifying differentially expressed BMGs, we used Cox and Lasso regression analyses to create a BMG-based risk score for overall survival at various intervals.

15p vikoch 27-06-2024 3 1   Download

Glioma recurrence, subsequent to maximal safe resection, remains a pivotal challenge. This study aimed to identify key clinical predictors influencing recurrence and develop predictive models to enhance neurological diagnostics and therapeutic strategies.

12p vikoch 27-06-2024 1 1   Download

To screen the risk factors affecting the recurrence risk of patients with ampullary carcinoma (AC)after radical resection, and then to construct a model for risk prediction based on Lasso-Cox regression and visualize it.

10p vikoch 27-06-2024 3 1   Download

The official study sample includes 89 industrial group of companies listed on HOSE with a sample size of 267 observations between 2018 and 2020. The panel data regression methods POOL, FEM, REM, and FGLS are used to validate the research model. The study result provides further empirical evidence on the quality of financial reports of industrial group of companies that are negatively influenced by the age of the CEOs. The result also recommends that industrial group of companies should not recruit or appoint CEOs who are too old to increase the quality of financial reports.

11p leminhvu111 07-06-2024 3 0   Download