# Regression analysis

Xem 1-20 trên 99 kết quả Regression analysis
• ### Sách: Experiments Planning, Analysis, and Optimization Second Edition

Nearly a decade has passed since the publication of the first edition. Many instructors have used the first edition to teach master's and Ph.D. students. Based on their feedback and our own teaching experience, it became clear that we needed to revise the book to make it more accessible to a larger audience, including upper-level undergraduates. To this end, we have expanded and reorganized the early chapters in the second edition. For example, our book now provides a self-contained presentation of regression analysis (Sections 1.4-1.

• ### Lecture Quantitative investment analysis: Chapter 9 – CFA Institute

Chapter 9 presents multiple regression and issues in regression analysis. This chapter includes contents: Multiple regression, multiple regression assumptions, multiple regression predicted values, multiple regression: anova, indicator variables,... Inviting you refer.

• ### Lecture Statistical techniques in business and economics - Chapter 14: Multiple regression

When you have completed this chapter, you will be able to: Understand the importance of an appropriate model specification and multiple regression analysis, comprehend the nature and technique of multiple regression models and the concept of partial regression coefficients, use the estimation techniques for multiple regression models,...

• ### báo cáo khoa học: "Magnitude of risks and benefits of the addition of bevacizumab to chemotherapy for advanced breast cancer patients: Meta-regression analysis of randomized trials"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Magnitude of risks and benefits of the addition of bevacizumab to chemotherapy for advanced breast cancer patients: Meta-regression analysis of randomized trials

• ### báo cáo hóa học:" Variables that influence HIV-1 cerebrospinal fluid viral load in cryptococcal meningitis: a linear regression analysis"

Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí sinh học đề tài : Variables that influence HIV-1 cerebrospinal fluid viral load in cryptococcal meningitis: a linear regression analysis

• ### Tensile properties of cooked meat sausages and their correlation with textureprofile analysis (TPA) parameters and physico-chemical characteristics

Tensile properties of cooked meat sausages and their correlation with textureprofile analysis (TPA) parameters and physico-chemical characteristics has many contents: Description of the samples, Physico-chemical analysis, Textural analysis, Statistical analysis, Physico-chemical analysis, Textural analysis, Linear regression analysis.

• ### Lecture Marketing research - Chapter 13: Bivariate correlation and regression

After studying this chapter you will be able to: comprehend the nature of correlation analysis, understand bivariate regression analysis, become aware of the coefficient of determination, R2. Inviting you to refer.

• ### Lecture Advanced Econometrics (Part II) - Chapter 5: Limited dependent variable models - Truncation, censoring (tobit) and sample selection

Lecture "Advanced Econometrics (Part II) - Chapter 5: Limited dependent variable models - Truncation, censoring (tobit) and sample selection" presentation of content: Truncation, censored data, some issues in specification, sample selection model, regression analysis of treatment effects.

• ### Chemometric Techniques for Quantitative Analysis

Chemometric Techniques for Quantitative Analysis shows how to produce and use quantitative analytical calibrations in a laboratory or production environment following a variety of methods, how to estimate the time and resources needed to develop analytical calibrations, and how to employ the quantitative software provided with a wide range of instruments and commercial software packages. Among several, this bestselling volume covers basic and classical approaches, component regression; PCR in action; partial least squares; PLS in action.

• ### Experiments Planning, Analysis, and Optimization Second Edition

Nearly a decade has passed since the publication of the first edition. Many instructors have used the first edition to teach master's and Ph.D. students. Based on their feedback and our own teaching experience, it became clear that we needed to revise the book to make it more accessible to a larger audience, including upper-level undergraduates. To this end, we have expanded and reorganized the early chapters in the second edition. For example, our book now provides a self-contained presentation of regression analysis (Sections 1.4-1.

• ### Lecture Quantiative methods for bussiness - Chapter 6: Forecasting

This chapter presents the following content: Quantitative approaches to forecasting, components of a time series, measures of forecast accuracy, smoothing methods, trend projection, trend and seasonal components, regression analysis, qualitative approaches.

• ### Lecture Machine learning (2014-2015) - Lecture 4: Nonlinear ridge regression risk, regularization, and cross-validation

This lecture will teach you how to fit nonlinear functions by using bases functions and how to control model complexity. The goal is for you to: Learn how to derive ridge regression; understand the trade-off of fitting the data and regularizing it; Learn polynomial regression; understand that, if basis functions are given, the problem of learning the parameters is still linear; learn cross-validation; understand model complexity and generalization.

• ### Lecture Machine learning (2014-2015) - Lecture 6: Logistic regression: a simple ANN

This lecture describes the construction of binary classifiers using a technique called Logistic Regression. The objective is for you to learn: How to apply logistic regression to discriminate between two classes; how to formulate the logistic regression likelihood; how to derive the gradient and Hessian of logistic regression; how to incorporate the gradient vector and Hessian matrix into Newton’s optimization algorithm so as to come up with an algorithm for logistic regression, which we call IRLS.

• ### Lecture Software testing and analysis - Chapter 22: System, acceptance, and regression testing

The essential characteristics of system testing are that it is comprehensive, based on a specification of observable behavior, and independent of design and implementation decisions. Independence in system testing avoids repeating software design errors in test design. Acceptance testing abandons specifications in favor of users, and measures how the final system meets users' expectations. Regression testing checks for faults introduced during evolution.

• ### Lecture Quantitative investment analysis: Chapter 8 – CFA Institute

Chapter 8 – Correlation and regression. After studying this chapter you will be able to understand: Define and interpret a scatter plot, calculate and interpret a sample covariance, calculate and interpret a sample correlation coefficient, explain how outliers can affect correlations,...

• ### QUANTITATIVE FINANCE

This work gives an overview of core topics in the “investment” side of finance, stressing the quantitative aspects of the subject. The presentation is at a moderately sophisticated level that would be appropriate for masters or early doctoral students in economics, engineering, finance, and mathematics. It would also be suitable for advanced and well motivated undergraduates-provided they are adequately prepared in math, probability, and statistics.

• ### Econometric Analysis of Cross Section and Panel Data

This book is intended primarily for use in a second-semester course in graduate econometrics, after a ﬁrst course at the level of Goldberger (1991) or Greene (1997). Parts of the book can be used for special-topics courses, and it should serve as a general reference. My focus on cross section and panel data methods—in particular, what is often...