Predictive Modeling for Regression

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

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

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

Ebook Business statistics with Exceland Tableau: A hands-on guide with screencasts and data includes content: Chapter 2: visualization and tableau: telling (true) stories with data, chapter 3: writing up your findings, chapter 4: data and how to get it, chapter 5: testing whether quantities are the same, chapter 6: regression: predicting with continuous variables, chapter 7: checking your regression model, chapter 8: time series introduction and smoothing methods, chapter 9: time series regression methods, chapter 10: optimization, chapter 11: morecomplex optimization, chapter 12: predictin...

247p zizaybay1103 29-05-2024 4 1   Download

Additionally to a regression model for predicting the average annual world prices for steel, this article assesses the economic efficiency of using weak coking coals in ferroalloy manufacturing. This study also explores the relationship between supply chain management and production cost considered a key factor in supply chain management. The factors influencing price behaviour are the capacity of the world metallurgical plants and the price for coking coal.

9p longtimenosee10 26-04-2024 1 1   Download

In a perspective of improvement of the performance of the supply chain of the Moroccan companies, we have relied on the data of 32 Moroccan companies in order to analyze the criticalities of the 16 factors mentioned in this article, to identify the most critical factors and their impacts on firm objectives, and to deliver a model for predicting the risk levels by a multiple linear regression model.

8p longtimenosee10 26-04-2024 7 2   Download

Based on these problem, the investigation contended that the housing supply prediction model will be accomplish using experimental data from economic data with supported from macroeconomic factors such as world borrowing cost, outflows of foreign capital, subprime crisis, population characteristics, migration, urbanization, stamp duty exemption, moratorium, RPGT, and also microeconomic factors such as location and accessibility, basic and public facility, financial loan, location and placement, credit facility, construction cost, development approval, price and rental and housing stock.

8p longtimenosee10 26-04-2024 3 1   Download

The core idea behind this research is to examine the significance of financial ratios taken from the financial reports or statements to forecast trend in stock price. For this purpose financial ratios have been taken to forecast stock returns from 2008 to 2018. Thus to predict the future price of stock four financial ratios have been taken, “price to book ratio (P/B), price to earnings ratio (P/E), dividend per share (DPS) and firm sizes”.

8p longtimenosee09 08-04-2024 4 1   Download

In this study, a logistic regression model is developed to forecast tropical storm (TS) genesis in the Vietnam East Sea from 2012 to 2019. The model incorporates seven potential predictors including dynamic and thermodynamic parameters at formation time retrieved from the WRF-LETKF outputs.

12p viellison 28-03-2024 3 1   Download

Part 2 book "Biostatistics - A methodology for the health sciences" includes content: Association and prediction - multiple regression analysis and linear models with multiple predictor variables; multiple comparisons; discrimination and classification; principal component analysis and factor analysis; rates and proportions; analysis of the time to an event - survival analysis; sample sizes for observational studies; longitudinal data analysis; randomized clinical trials; personal postscript.

453p muasambanhan06 03-02-2024 6 1   Download

Hepatocellular carcinoma (HCC) is a major health concern, necessitating a deeper understanding of its prognosis and underlying mechanisms. This study aimed to investigate the mechanism and prognostic value of CD8+T Cell exhaustion (CD8+TEX)-related genes in HCC and construct a survival prognosis prediction model for patients with HCC.

15p vileonardodavinci 23-12-2023 3 3   Download

Prediction of patient survival from tumor molecular ‘-omics’ data is a key step toward personalized medicine. Cox models performed on RNA profiling datasets are popular for clinical outcome predictions. But these models are applied in the context of “high dimension”, as the number p of covariates (gene expressions) greatly exceeds the number n of patients and e of events.

16p vialfrednobel 23-12-2023 3 3   Download

This book presents a sampling of work in the field. The primary target is the researcher or student who wishes to work in privacy-preserving data mining; the goal is to give a background on approaches along with details showing how to develop specific solutions within each approach. The book is organized much like a typical data mining text, with discussion of privacy-preserving solutions to particular data mining tasks.

123p haojiubujain06 23-10-2023 8 3   Download

Ebook Econometric analysis (Fifth edition): Part 1 includes contents: Chapter 1 introduction, chapter 2 the classical multiple linear regression model, chapter 3 least squares, chapter 4 finite-sample properties of the least squares estimator, chapter 5 large-sample properties of the least squares and instrumental variables estimators, chapter 6 inference and prediction, chapter 7 functional form and structural change, chapter 8 specification analysis and model selection, chapter 9 nonlinear regression models, chapter 10 nonspherical disturbances - the generalized regression model, chapter ...

402p haojiubujain03 24-07-2023 10 4   Download

This paper presents the algorithms for training an artificial neural network (ANN) for regression analysis; the algorithm is based on the generalized delta rule. The training method of a simple neuron model and an ANN model are presented and generalized. The models are then programed in Visual C# .NET and applied to predict the compressive strength of concrete mixes. Three datasets, collected from the literature, are used to demonstrate the applications of the models.

7p nhanchienthien 25-07-2023 5 4   Download

This paper uses XGBoost to predict bearing capacity of concrete piles. The proposed model is trained and tested against a dataset of 472 samples collected from static load tests in Vietnam. The results indicate that the default XGBoost model consistently outperforms the Deep Neural Network (DNN) regression. XGBoost is a suitable tool for engineers to predict pile bearing capacity.

9p nhanchienthien 25-07-2023 9 3   Download

The paper "Artificial neural network for regression analysis developed in excel VBA: A case study in pile bearing capacity prediction" aims at developing an artificial neural network (ANN) for regression analysis. The ANN model is developed in Excel Visual Basic for Applications (VBA) to facilitate its practical implementations. The capability of the developed ANN program has been tested with the task of pile bearing capacity prediction.

7p nhanchienthien 25-07-2023 10 5   Download

Hospital-acquired pressure ulcers (HAPUs) have a mortality rate of 11.6%, are costly to treat, and result in Medicare reimbursement penalties. Medicare codes HAPUs according to Agency for Healthcare Research and Quality Patient-Safety Indicator 3 (PSI-03), but they are sometimes inappropriately coded.

8p visteverogers 24-06-2023 3 3   Download

Predictive analytics create opportunities to incorporate personalized risk estimates into clinical decision support. Models must be well calibrated to support decision-making, yet calibration deteriorates over time. This study explored the influence of modeling methods on performance drift and connected observed drift with data shifts in the patient population.

10p visteverogers 24-06-2023 7 3   Download

Methods to correct class imbalance (imbalance between the frequency of outcome events and nonevents) are receiving increasing interest for developing prediction models. We examined the effect of imbalance correction on the performance of logistic regression models.

10p vighostrider 25-05-2023 6 2   Download