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Statistical Inference in Linear Models

Posted By: AvaxGenius

Date: 26 Feb 2024 07:44:18

Statistical Inference in Linear Models by Sandra Ferreira
English | PDF | 2024 | 224 Pages | ISBN : N/ | 11.8 MB

Linear models are statistical models that play a crucial role in several fields of science and are of practical importance in statistics. Their most typical type is the linear regression model. Many phenomena, such as those in biology, medicine, economics, management, geology, meteorology, agriculture, and industry, can be approximately described with linear models. Moreover, the further research and development of linear models is still a hot research topic.

Science Linear Models Statistical Inference Mathematics

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Parallel Algorithms for Linear Models: Numerical Methods and Estimation Problems

Posted By: AvaxGenius

Date: 20 Jan 2024 13:30:32

Parallel Algorithms for Linear Models: Numerical Methods and Estimation Problems by Erricos John Kontoghiorghes
English | PDF | 2000 | 196 Pages | ISBN : 0792377206 | 14.6 MB

Parallel Algorithms for Linear Models provides a complete and detailed account of the design, analysis and implementation of parallel algorithms for solving large-scale linear models. It investigates and presents efficient, numerically stable algorithms for computing the least-squares estimators and other quantities of interest on massively parallel systems.

Numerical Methods Algorithms Linear Models Science Economic Theory Management Economics Finance Insurance Econometrics

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Generalized Linear Mixed Models with Applications in Agriculture and Biology

Posted By: AvaxGenius

Date: 17 Aug 2023 06:24:16

Generalized Linear Mixed Models with Applications in Agriculture and Biology by Josafhat Salinas Ruíz , Osval Antonio Montesinos López , Gabriela Hernández Ramírez , Jose Crossa Hiriart
English | PDF EPUB (True) | 2023 | 434 Pages | ISBN : 3031327993 | 25 MB

This book offers an introduction to mixed generalized linear models with applications to the biological sciences, basically approached from an applications perspective, without neglecting the rigor of the theory. For this reason, the theory that supports each of the studied methods is addressed and later - through examples - its application is illustrated. In addition, some of the assumptions and shortcomings of linear statistical models in general are also discussed.

Science Generalized Linear Mixed Models Model Inference Mathematics Statistics Biostatistics Multivariate Analysis Linear Models Regression Agriculture

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Methods and Applications of Linear Models: Regression and the Analysis of Variance

Posted By: AvaxGenius

Date: 17 Oct 2022 19:33:29

Methods and Applications of Linear Models: Regression and the Analysis of Variance by Ronald R. Hocking
English | PDF | 2003 | 752 Pages | ISBN : 047123222X | 44 MB

A popular statistical text now updated and better than ever!
The ready availability of high-speed computers and statistical software encourages the analysis of ever larger and more complex problems while at the same time increasing the likelihood of improper usage. That is why it is increasingly important to educate end users in the correct interpretation of the methodologies involved. Now in its second edition, Methods and Applications of Linear Models: Regression and the Analysis of Variance seeks to more effectively address the analysis of such models through several important changes. Notable in this new edition:

Science Regression Analysis Variance Linear Models Statistics Probability

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Adaptive Filters

Posted By: AvaxGenius

Date: 8 Oct 2022 12:57:23

Adaptive Filters by Ali H. Sayed
English | PDF | 2007 | 815 Pages | ISBN : 0470253886 | 40.6 MB

Adaptive filtering is a topic of immense practical and theoretical value, having applications in areas ranging from digital and wireless communications to biomedical systems. This book enables readers to gain a gradual and solid introduction to the subject, its applications to a variety of topical problems, existing limitations, and extensions of current theories. The book consists of eleven parts?each part containing a series of focused lectures and ending with bibliographic comments, problems, and computer projects with MATLAB solutions.

Science Adaptive Filters MATLAB MATLAB solutions Random Variables Linear Algebra Complex Gradients Scalar-Valued Data Vector-Valued Data Computer Projects Normal Equations Orthogonality Principle Linear Models Kalman Filter Transient Behavior LMS Algorithm Normalized LMS Algorithm Affine Projection Algorithm RLS Algorithm Energy Conservation NLMS Nonstationary Environments Tracking Performance Weighted Energy Conservation Gaussian Regressors Normalized Filters Kalman Filtering Angle Preservation QR Algorithms Algorithms Hyperbolic Rotations Fast Array Algorithm Estimation Problems Lattice Filter Algorithms Array Lattice Filters Robust Adaptive Filters Robustness Robustness Properties

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Chemometric Methods in Analytical Spectroscopy Technology

Posted By: AvaxGenius

Date: 28 May 2022 23:10:30

This book discusses chemometric methods for spectroscopy analysis including NIR, MIR, Raman, NMR, and LIBS, from the perspective of practical applied spectroscopy. It covers all aspects of chemometrics associated with analytical spectroscopy, including representative sample selection algorithm, outlier detection algorithm, model updating and maintenance algorithm and strategy and calibration performance evaluation methods.To provide a systematic and comprehensive overview the latest progress of chemometric methods including recent scientific research and practical applications are presented. In addition the book also highlights the improvement of classical algorithms and the extension of common strategies. It is therefore useful as a reference book for researchers engaged in analytical spectroscopy technology, chemometrics, analytical instruments and other related fields.

Science Spectroscopy Analytical Spectroscopy Chemometric Methods Process Analytical Technology Deep Learning Machine Learning Pattern Recognition Multivariate Calibration Analytical Chemistry Linear Models Regression

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New Statistics for Design Researchers: A Bayesian Workflow in Tidy R

Posted By: AvaxGenius

Date: 13 Jul 2021 12:59:40

Design Research uses scientific methods to evaluate designs and build design theories. This book starts with recognizable questions in Design Research, such as A/B testing, how users learn to operate a device and why computer-generated faces are eerie. Using a broad range of examples, efficient research designs are presented together with statistical models and many visualizations.

R Human factors Bayesian statistics R code Linear Models statistics Science Science Science

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Linear Models in Matrix Form: A Hands-On Approach for the Behavioral Sciences

Posted By: AvaxGenius

Date: 1 May 2021 03:25:59

Linear Models in Matrix Form: A Hands-On Approach for the Behavioral Sciences By Jonathon D. Brown
English | PDF | 2014 | 536 Pages | ISBN : 3319117335 | 4.2 MB

This textbook is an approachable introduction to statistical analysis using matrix algebra. Prior knowledge of matrix algebra is not necessary. Advanced topics are easy to follow through analyses that were performed on an open-source spreadsheet using a few built-in functions. These topics include ordinary linear regression, as well as maximum likelihood estimation, matrix decompositions, nonparametric smoothers and penalized cubic splines.

Behavior Science Psychology Linear Models Mathematics

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Linear Models

Posted By: arundhati

Date: 9 Dec 2020 00:54:57

Science ePub Linear Models Mathematics

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