# Regression Model

Xem 1-20 trên 178 kết quả Regression Model
• ### Kinh tế ứng dụng_ Lecture 2: Simple Regression Model

The estimation process begins by assuming or hypothesizing that the least squares linear regression model (drawn from a sample) is valid. The formal two-variable linear regression model is based on the following assumptions: (1) The population regression is adequately represented by a straight line: E(Yi) = μ(Xi) = β0 + β1Xi (2) The error terms have zero mean: E(∈i) = 0 (3) A constant variance (homoscedasticity): V(∈i) = σ2

• ### Bài giảng Chapter 3: Stochastic regression model

Bài giảng Chapter 3: Stochastic regression model hướng đến trình bày các vấn đề cơ bản như: Consistency; classical stochastic regression model; limiting distributions and asymptotic distributions; asymptotic distribution of;... Mời các bạn cùng tìm hiểu và tham khảo nội dung thông tin tài liệu.

• ### Lecture Advanced Econometrics (Part II) - Chapter 7: Greneralized linear regression model

Lecture "Advanced Econometrics (Part II) - Chapter 7: Greneralized linear regression model" presentation of content: Model, properties of ols estimators, white's heteroscedascity consistent estimator, greneralized least squares estimation.

• ### Lecture Applied econometrics course - Chapter 1: Simple regression model

Lecture "Applied econometrics course - Chapter 1: Simple regression model" has content: What is simple regression model, how to estimate simple regression model, R – Square, assumption, variance and standard error of parameters,... and other contents.

• ### Lecture Applied econometrics course - Chapter 2: Multiple regression model

Lecture "Applied econometrics course - Chapter 2: Multiple regression model" has content: Why we need multiple regression model, estimation, R – Square, assumption, variance and standard error of parameters, the issues of multiple regression model, Illustration by Computer.

• ### Lecture Advanced Econometrics (Part II) - Chapter 6: Models for count data

Lecture "Advanced Econometrics (Part II) - Chapter 6: Models for count data" presentation of content: Poisson regression model, goodness of fit, overdispersion, negative binomial regression model, too many zeros data.

• ### Bài giảng Chapter 1: Classical linear regression

Bài giảng Chapter 1: Classical linear regression tập trung trình bày các vấn đề cơ bản về model; assumptions of the classial regression model; least souares estimation;... Mời các bạn cùng tìm hiểu và tham khảo nội dung thông tin tài liệu.

• ### NON-LINEAR REGRESSION MODELS

This is a survey of non-linear regression models, with an emphasis on the theory of estimation and hypothesis testing rather than computation and applications, although there will be some discussion of the last two topics. For a general discussion of computation the reader is referred to Chapter 12 of this Handbook by Quandt. My aim is to present the gist of major results; therefore, I will sometimes omit proofs and less significant assumptions. For those, the reader must consult the original sources....

• ### Modeling Hydrologic Change

Modeling Hydrologic Change: Statistical Methods is about modeling systems where change has affected data that will be used to calibrate and test models of the systems and where models will be used to forecast system responses after change occurs. The focus is not on the hydrology. Instead, hydrology serves as the discipline from which the applications are drawn to illustrate the principles of modeling and the detection of change. All four elements of the modeling process are discussed: conceptualization, formulation, calibration, and verification.

• ### Econometric Theory And Methods Russell Davidson And James Mackinnon

Regression models form the core of the discipline of econometrics. Although econometricians routinely estimate a wide variety of statistical models, using many diﬀerent types of data, the vast majority of these are either regression models or close relatives of them. In this chapter, we introduce the concept of a regression model, discuss several varieties of them, and introduce the estimation method that is most commonly used with regression models, namely, least squares.

• ### Báo cáo hóa học: " Comparison of regression models for estimation of isometric wrist joint torques using surface electromyography"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Comparison of regression models for estimation of isometric wrist joint torques using surface electromyography

• ### Báo cáo khoa học: "Combining a Statistical Language Model with Logistic Regression to Predict the Lexical and Syntactic Difﬁculty of Texts for FFL"

Reading is known to be an essential task in language learning, but ﬁnding the appropriate text for every learner is far from easy. In this context, automatic procedures can support the teacher’s work. Some tools exist for English, but at present there are none for French as a foreign language (FFL). In this paper, we present an original approach to assessing the readability of FFL texts using NLP techniques and extracts from FFL textbooks as our corpus. Two logistic regression models based on lexical and grammatical features are explored and give quite good predictions on new texts. ...

• ### Mathematical statistics with applications 2

(BQ) Part 2 book "Mathematical statistics with applications" has contents: Linear regression models, design of experiments, analysis of variance, bayesian estimation and inference, nonparametric tests, empirical methods, some issues in statistical applications - an overview.

• ### Ebook Applied multivariate statistical analysis (5th edition): Part 2

(BQ) Part 2 book "Applied multivariate statistical analysis" has contents: Multivariate linear regression models, principal components, factor analysis and inference for structured covariance matrices; canonical correlation analysis; discrimination and classification; clustering, distance methods, and ordination.

• ### Ebook Basic Econometrics (Fifth Edition)

Contents: Single-Equation Regression Models, Relaxing the Assumptions of the Classical Model, Topics in Econometrics, Simultaneous-Equation Models and Time Series Econometrics,...

• ### Ebook Basic business statistics - Concepts and applications (12th edition): Part 2

(BQ) Part 2 book "Basic business statistics - Concepts and applications" has contents: Analysis of variance, simple linear regression, introduction to multiple regression, multiple regression model building, statistical applications in quality management, a road map for analyzing data,...and other contents.

• ### Báo cáo toán học: " Two-stage source tracking method using a multiple linear regression model in the expanded phase domain"

Tuyển tập các báo cáo nghiên cứu khoa học ngành toán học được đăng trên tạp chí toán học quốc tế đề tài: Two-stage source tracking method using a multiple linear regression model in the expanded phase domain

• ### báo cáo hóa học:" Two-stage source tracking method using a multiple linear regression model in the expanded phase domain"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Two-stage source tracking method using a multiple linear regression model in the expanded phase domain

• ### Báo cáo sinh học: "Computing approximate standard errors for genetic parameters derived from random regression models ﬁtted by average information REML"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: Computing approximate standard errors for genetic parameters derived from random regression models ﬁtted by average information REML