Regression Analysis 213 Success Secrets - 213 Most Asked Questions On Regression Analysis - What You Need To Know
Nonfiction, Reference & Language, Reference, Business & Finance
| Author: | Beverly Puckett | ISBN: | 9781488539275 |
| Publisher: | Emereo Publishing | Publication: | March 23, 2014 |
| Imprint: | Emereo Publishing | Language: | English |
| Author: | Beverly Puckett |
| ISBN: | 9781488539275 |
| Publisher: | Emereo Publishing |
| Publication: | March 23, 2014 |
| Imprint: | Emereo Publishing |
| Language: | English |
There has never been a Regression Analysis Guide like this.
It contains 213 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Regression Analysis.
A quick look inside of some of the subjects covered: Predictions - Sports, Regression Analysis of Time Series, Poisson regression - Regression models, Randomized experiment - Statistical Interpretation, Artificial neural network - Real-life applications, Curve fitting, Accelerated failure time model - Model specification, Stepwise regression - Main approaches, Forecasting - Causal / econometric forecasting methods, Studentized residual, Estimation of covariance matrices, Memory improvement - Exercise, Polynomial regression - History, Outline of economics - General economic concepts, Bias-variance dilemma, Principal component regression, Data mining Background, K-nearest neighbors classification, and much more…
There has never been a Regression Analysis Guide like this.
It contains 213 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Regression Analysis.
A quick look inside of some of the subjects covered: Predictions - Sports, Regression Analysis of Time Series, Poisson regression - Regression models, Randomized experiment - Statistical Interpretation, Artificial neural network - Real-life applications, Curve fitting, Accelerated failure time model - Model specification, Stepwise regression - Main approaches, Forecasting - Causal / econometric forecasting methods, Studentized residual, Estimation of covariance matrices, Memory improvement - Exercise, Polynomial regression - History, Outline of economics - General economic concepts, Bias-variance dilemma, Principal component regression, Data mining Background, K-nearest neighbors classification, and much more…
