Linear modeling

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 2 of ebook "An introduction to statistical learning with applications in R" provides readers with contents including: Chapter 6 - Linear model selection and regularization; Chapter 7 - Moving beyond linearity; Chapter 8 - Tree-based methods; Chapter 9 - Support vector machines; Chapter 10 - Unsupervised learning;...

222p daonhiennhien 03-07-2024 2 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 2 of ebook "Applied predictive modeling" provides readers with contents including: Chapter 11 - Measuring performance in classification models; Chapter 12 - Discriminant analysis and other linear classification models; Chapter 13 - Nonlinear classification models; Chapter 14 - Classification trees and rule-based models; Chapter 15 - A Summary of grant application models; Chapter 16 - Remedies for severe class imbalance; Chapter 17 - Case study job scheduling; Chapter 18 - Measuring predictor importance; Chapter 19 - An introduction to feature selection; Chapter 20 - Factors that can af...

344p daonhiennhien 03-07-2024 1 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 2 of ebook "Clinical data analysis on a pocket calculator: Understanding the scientific methods of statistical reasoning and hypothesis testing (Second edition)" provides readers with contents including: Chapter 27 - Robust tests for imperfect data; Chapter 28 - Non-linear modeling on a pocket calculator; Chapter 29 - Fuzzy modeling for imprecise and incomplete data; Chapter 30 - Bhattacharya modeling for unmasking hidden Gaussian curves; Chapter 31 - Item response modeling instead of classical linear analysis of questionnaires; Chapter 32 - Meta-analysis of continuous data; Chapter 33...

168p 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 "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 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 of ebook "The finite element method for solid and structural mechanics (Seventh edition)" provides readers with contents including: Chapter 10 - Background mathematics and linear shell theory; Chapter 11 - Differential geometry and calculus on manifolds; Chapter 12 - Geometrically nonlinear problems in continuum mechanics; Chapter 13 - A nonlinear geometrically exact rod model; Chapter 14 - A nonlinear geometrically exact shell model; Chapter 15 - Computer procedures for finite element analysis; Appendix A - Isoparametric finite element approximations; Appendix B - Invariants of seco...

322p giangmacvien 21-06-2024 0 0   Download

The article introduces a method to create any 2D laser profiles applied in welding technology. This method allows for the creation of profiles that best suit the weld characteristics and material of the weld workpiece, thereby improving the quality, accuracy, and aesthetics of the weld and increasing laser welding efficiency.

9p viambani 18-06-2024 1 1   Download

In this paper, the authors present a method to solve these problems. Wherein, the motion of targets is represented in the mixed coordinate system 3D base on combining PHD (Probability Hypothesis Density) and JPDA (Joint Probability Data Association). This method can track multiple targets in the most general case, that is to change the target number, system model and measurement model which is non-linear as the noise is non-Gaussian.

9p viambani 18-06-2024 3 1   Download

This paper deals with implementing Proper Generalized Decomposition (PGD) technique in solving the problem of identifying Young's modulus of linear elastic isotropic material from fullfield measurements by finite element model updating (FEMU) method.

10p viambani 18-06-2024 6 1   Download

This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods.

489p vimeyers 29-05-2024 2 2   Download

Part 1 of ebook "Numerical modelling of wave energy converters: State-of-the-art techniques for single devices and arrays" provides readers with contents including: wave energy converter modelling techniques based on linear hydrodynamic theory; frequency-domain models; time-domain models; spectral-domain models; nonlinear potential flow models; computational fluid dynamics (CFD) models; identifying models using recorded data;...

147p dongmelo 20-05-2024 5 2   Download

Lecture "Fundamentals of optimization: Modelling" provides students with content about: Optimization problems; Modelling overview; Constraint linearization; Balanced course assignment problem;... Please refer to the detailed content of the lecture!

29p gaupanda031 20-05-2024 5 3   Download

This paper presents a method to design a time-varying parameter PID controller for Bézier trajectory tracking of a differential-drive mobile robot (DDMR). First, the robot's linear error model is established by linearizing around the desired angular velocity of the nonlinear kinematic error model. Then, the variable parameter PID controller is designed to control the DDMR to follow the Bézier trajectory with minor error under the condition of time-varying velocity.

11p dathienlang1012 03-05-2024 4 2   Download