Statistical risk models

Cancer is a significant public health concern and the second leading cause of death. This study aims to visualize spatial patterns of top common cancer types and identify high-risk and low-risk counties for these cancers in Iran from 2014 to 2017.

14p vikoch 27-06-2024 1 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

In the supply chain management system (SCM) in agribusiness, it is critical to ensure the economic sustainability of farms - suppliers of raw materials for processing. The purpose of the study was to develop methods and procedures for calculating the projected values of income per hectare from the crops cultivated, taking into account the conditions of crop production in the Northern Kazakhstan.

11p longtimenosee10 26-04-2024 1 1   Download

The research used statistical analysis methods, compared, and simulated the MIKE model, predicted the risk of salinity intrusion according to the scenarios RCP 4.5 and RCP 8.5 to assess the current situation of salinity intrusion and its impact on Go Cong Dong district and Tan Phu Dong district.

5p visergey 02-04-2024 9 0   Download

Genome-wide association studies (GWAS) of Alzheimer’s disease (AD) have identified several risk loci, but many remain unknown. Cerebrospinal fluid (CSF) biomarkers may aid in gene discovery and we previously demonstrated that six CSF biomarkers (β-amyloid, total/phosphorylated tau, NfL, YKL-40, and neurogranin) cluster into fve principal components (PC), each representing statistically independent biological processes.

23p vicwell 29-02-2024 5 2   Download

Ebook "Energy risk modeling: Applied modeling methods for risk managers" is a primer on statistical methods for managers, students and anybody interested in the field. Illustrated through elementary and more advanced statistical Methods, it is primarily aimed at those individuals who need a gentle introduction in how to go about using statistical methods for modeling energy price risk. Statistical ideas are presented by outlining the necessary concepts and illustrating how these ideas can be implemented.

268p tuongnhuoclan 28-11-2023 12 4   Download

Ebook "Organizational improvement and accountability: Lessons for education from other sectors" examines five accountability models--two from the manufacturing sector; a performance incentive model used in the evaluation of job training programs for the poor; accountability in the legal sector; and accountability in health care as shown by clinical practice guidelines, use of statistical risk-adjustment methods, and the public reporting of health performance measures.

154p tuongnhuoclan 28-11-2023 5 2   Download

Ebook "Applied data mining for business and industry" includes contents: Chapter 1 introduction, chapter 2 organisation of the data, chapter 3 summary statistics, chapter 4 model specification, chapter 5 model evaluation, chapter 6 describing website visitors, chapter 7 market basket analysis, chapter 8 describing customer satisfaction, chapter 9 predicting credit risk of small businesses, chapter 10 predicting e-learning student performance, chapter 11 predicting customer lifetime value, chapter 12 operational risk management.

252p haojiubujain08 01-11-2023 5 2   Download

Part 2 book "Wildlife toxicology - Emerging contaminant and biodiversity issues" includes content: Impacts of anthropogenic CO2 and climate change on the biology of terrestrial and marine systems; statistical models in wildlife toxicology; global perspectives on wildlife toxicology - emerging issues; ecological risk assessment and emerging issues in wildlife toxicology, looking forward - the global future of wildlife toxicology.

175p oursky08 02-11-2023 4 2   Download

Continued part 1, part 2 of ebook "Statistics and data analysis for financial engineering with R examples" provides readers with contents including: time series models basics; time series models further topics; GARCH models; cointegration; portfolio selection; the capital asset pricing model; factor models and principal components; risk management; bayesian data analysis and MCMC; nonparametric regression and splines;...

407p thamnhuocgiai 24-09-2023 7 4   Download

Ebook SAS® for Monte Carlo Studies: A guide for quantitative researchers – Part 2 includes contents: Chapter 5 automating monte carlo simulations, chapter 6 conducting monte carlo studies that involve univariate statistical techniques, chapter 7 conducting monte carlo studies for multivariate techniques, chapter 8 examples for monte carlo simulation in finance: estimating default risk and value-at-risk, chapter 9 modeling time series processes with SAS/ETS Software.

159p haojiubujain03 24-07-2023 7 2   Download

Part 1 of ebook "Reliability and statistics in geotechnical engineering" provides readers with content including: tntroduction – uncertainty and risk in geotechnical engineering; uncertainty; probability; inference; risk, decisions and judgment;...

314p dieptieuung 19-07-2023 8 4   Download

Ebook Mathematics and statistics for financial risk management (Second Edition): Part 2 presents the following content: Chapter 7 hypothesis testing and confidence intervals, chapter 8 matrix algebra, chapter 9 vector spaces, chapter 10 linear regression analysis, chapter 11 time series models, chapter 12 decay factors.

183p haojiubujain02 03-07-2023 9 3   Download

Ebook Mathematics and statistics for financial risk management (Second Edition): Part 1 presents the following content: Chapter 1 some basic math, chapter 2 probabilities, chapter 3 basic statistics, chapter 4 distributions, chapter 5 multivariate distributions and copulas, chapter 6 bayesian analysis.

150p haojiubujain02 03-07-2023 5 2   Download

A probabilistic model is proposed to predict the risk effects on time and cost of public building projects. The research goal is to utilize a real history data in estimating project cost and duration. The model results can be used to adjust floats and budgets of the planning schedule before project commencement. Statistical regression models and sample tests are developed using real data of 113 public projects. The model outputs can be used by project managers in the planning phase to validate the schedule critical path time and project budget.

8p runordie3 27-06-2022 26 8   Download

Conventional broilers are currently one of the most efficient protein converters. Although decades of progress in genetic selection and feed formulation have lead to high standards of efficient broiler production, still a lot of variability is found between farms and between successive flocks.

13p vigandhi 23-02-2022 10 1   Download

Polygenic risk scores (PRSs) have wide applications in human genetics research, but often include tuning parameters which are difficult to optimize in practice due to limited access to individual-level data. Here, we introduce PUMAS, a novel method to fine-tune PRS models using summary statistics from genome-wide association studies (GWASs).

19p viarchimedes 26-01-2022 18 0   Download

Lumbar disc degeneration (LDD) is a condition associated with recurrent low back pain (LBP). Knowledge regarding effective management is limited. As a step towards the identification of risk, prognostic or potentially modifiable factors in LDD patients, the aim of this study was to explore the hypothesis that intrinsic lumbar spine shape is associated with LDD and clinical outcomes in symptomatic adults.

10p vimariana2711 22-12-2020 10 1   Download

The mixture of volatile organic compounds in the headspace gas of urine may be able to distinguish lung cancer patients from relevant control populations. Methods: Subjects with biopsy confirmed untreated lung cancer, and others at risk for developing lung cancer, provided a urine sample. A colorimetric sensor array was exposed to the headspace gas of neat and pre-treated urine samples.

6p vimoscow2711 29-08-2020 9 0   Download

We give an explicit algorithm and source code for constructing risk models based on machine learning techniques. The resultant covariance matrices are not factor models. Based on empirical backtests, we compare the performance of these machine learning risk models to other constructions, including statistical risk models, risk models based on fundamental industry classifications, and also those utilizing multilevel clustering based industry classifications.

28p nguyenanhtuan_qb 09-07-2020 16 2   Download