Inference 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

Part 2 book "Probability and statistics for engineering and the sciences" includes content: Inferences based on two samples; the analysis of variance; multifactor analysis of variance; simple linear regression and correlation; nonlinear and multiple regression; goodness of fit tests and categorical data analysis; distribution free procedures; quality control methods.

416p muasambanhan06 01-02-2024 5 1   Download

Part 2 book "Applied statistics and probability for engineers" includes content: Statistical inference for two samples; simple linear regression and correlation; multiple linear regression; design and analysis of single factor experiments - the analysis of variance; design of experiments with several factors; statistical quality control.

424p muasambanhan06 01-02-2024 6 0   Download

Continued part 1, part 2 of ebook "OpenIntro statistics" provides readers with contents including: chapter 6 - Inference for categorical data; chapter 7 - Inference for numerical data; chapter 8 - Introduction to linear regression; chapter 9 - Multiple and logistic regression;...

217p tieulangtran 28-09-2023 6 2   Download

Continued part 1, part 2 of ebook "Statistics with Julia: Fundamentals for data science, machine learning and artificial intelligence" provides readers with contents including: statistical inference concepts - DRAFT; confidence intervals - DRAFT; hypothesis testing - DRAFT; linear regression and extensions - DRAFT; machine learning basics - DRAFT; simulation of dynamic models - DRAFT;...

227p tieulangtran 28-09-2023 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

Part 1 of ebook "Introduction to data science: A python approach to concepts, techniques and applications" has presents the following content: introduction to data science; toolboxes for data scientists; descriptive statistics; statistical inference; supervised learning; regression analysis;...

127p dieptieuung 20-07-2023 13 6   Download

Ebook Applied statistics and probability for engineers (Third Edition): Part 2 presents the following content: Chapter 9 tests of hypotheses for a single sample, chapter 10 statistical inference for two samples, chapter 11 simple linear regression and correlation, chapter 12 multiple linear regression, chapter 13 design and analysis of single-factor experiments: the analysis of variance, chapter 14 design of experiments with several factors, chapter 15 nonparametric statistics, chapter 16 statistical quality control.

493p haojiubujain01 06-06-2023 5 3   Download

Ebook Fundamentals of probability and statistics for engineers: Part 2 presents the following content: Chapter 8: observed data and graphical representation; chapter 9: parameter estimation; chapter 10: model verification; chapter 11: linear models and linear regression; Appendix A: tables; Appendix B: computer software; Appendix C: answers to selected problems.

147p runthenight08 16-05-2023 8 3   Download

Continued part 1, part 2 of ebook "Statistics for management and economics" provide readers with content about: inference about comparing two populations; analysis of variance; chi-squared tests; simple linear regression and correlation; multiple regression; model building; nonparametric statistics; time-series analysis and forecasting; statistical process control; decision analysis;...

545p damtuyetha 16-02-2023 3 1   Download

Continued part 1, part 2 of ebook "Statistics for management and economics abbreviated" provide readers with content about: inference about a population; inference about comparing two populations; analysis of variance; chi-squared tests; simple linear regression and correlation; multiple regression; data file sample statistics;...

383p damtuyetha 16-02-2023 2 1   Download

We develop a method, VIPER, to impute the zero values in single-cell RNA sequencing studies to facilitate accurate transcriptome quantification at the single-cell level. VIPER is based on nonnegative sparse regression models and is capable of progressively inferring a sparse set of local neighborhood cells that are most predictive of the expression levels of the cell of interest for imputation.

15p vigalileogalilei 27-02-2022 32 1   Download

Isoquercitrin is a flavonoid chemical compound that can be extracted from different plant species such as Mangifera indica (mango), Rheum nobile, Annona squamosal, Camellia sinensis (tea), and coriander (Coriandrum sativum L.). It possesses various biological activities such as the prevention of thromboembolism and has anticancer, antiinflammatory, and antifatigue activities. Therefore, there is a critical need to elucidate and predict the qualitative and quantitative properties of this phytochemical compound using the high performance liquid chromatography (HPLC) technique.

13p tudichquannguyet 29-11-2021 12 1   Download

The present study is an attempt to find past trends of walnut in Jammu and Kashmir using parametric, non parametric and semi-parametric regression methods. The performance of each method is compared using high value of R and low value of residual criteria. It is found that non parametric/semi parametric regression comes out to be a good fit for trend in walnut production in comparison to parametric regression. Even semi parametric spline is selected as the best fit model for trend analysis.

10p chauchaungayxua10 19-03-2021 13 2   Download

Different high-dimensional regression methodologies exist for the selection of variables to predict a continuous variable. To improve the variable selection in case clustered observations are present in the training data, an extension towards mixed-effects modeling (MM) is requested, but may not always be straightforward to implement.

11p vikentucky2711 26-11-2020 10 0   Download

Predicting protein subcellular localization is indispensable for inferring protein functions. Recent studies have been focusing on predicting not only single-location proteins, but also multi-location proteins. Almost all of the high performing predictors proposed recently use gene ontology (GO) terms to construct feature vectors for classification.

17p vioklahoma2711 19-11-2020 6 1   Download

Inference of gene regulatory network structures from RNA-Seq data is challenging due to the nature of the data, as measurements take the form of counts of reads mapped to a given gene. Here we present a model for RNA-Seq time series data that applies a negative binomial distribution for the observations, and uses sparse regression with a horseshoe prior to learn a dynamic Bayesian network of interactions between genes.

12p viconnecticut2711 28-10-2020 19 0   Download

Accurate gene regulatory networks can be used to explain the emergence of different phenotypes, disease mechanisms, and other biological functions. Many methods have been proposed to infer networks from gene expression data but have been hampered by problems such as low sample size, inaccurate constraints, and incomplete characterizations of regulatory dynamics.

15p vicoachella2711 27-10-2020 19 1   Download

(BQ) The following will be discussed in this part: Introducing stata, simple linear regression, interval estimation and hypothesis testing, prediction - goodness of fit and modeling issues, multiple linear regression, further inference in the multiple regression model, using indicator variables, heteroskedasticity, regression with time-series data: stationary variables.

332p nanhankhuoctai5 01-06-2020 19 3   Download

This paper focuses on municipal solid waste generation in city of Tehran, the most populated city in Middle East. Three methods are explored in this paper to analyze the past solid waste time-series analysis: regression, Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS).

10p kelseynguyen 28-05-2020 11 0   Download