19,99 €
inkl. MwSt.
Versandfertig in 6-10 Tagen
10 °P sammeln
Andere Kunden interessierten sich auch für
![Continuous Average Control of Piecewise Deterministic Markov Processes]( "Continuous Average Control of Piecewise Deterministic Markov Processes")
Continuous Average Control of Piecewise Deterministic Markov Processes37,99 €![Statistical Inference for Piecewise-Deterministic Markov Processes]( "Statistical Inference for Piecewise-Deterministic Markov Processes")
Statistical Inference for Piecewise-Deterministic Markov Processes186,99 €![Markov Renewal and Piecewise Deterministic Processes]( "Markov Renewal and Piecewise Deterministic Processes")
Markov Renewal and Piecewise Deterministic Processes139,09 €![Markov Renewal and Piecewise Deterministic Processes]( "Markov Renewal and Piecewise Deterministic Processes")
Markov Renewal and Piecewise Deterministic Processes139,09 €![Multi-State Survival Models for Interval-Censored Data]( "Multi-State Survival Models for Interval-Censored Data")
Multi-State Survival Models for Interval-Censored Data141,99 €![Outline of Regression Analysis]( "Outline of Regression Analysis")
Outline of Regression Analysis22,99 €![Sliced Inverse Regression]( "Sliced Inverse Regression")
Sliced Inverse Regression22,99 €
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, the piecewise regression analysis (PRA) is a method or analytical strategy in regression analysis. It is based on finding one or more random thresholds to segment a continuous random linear sample space into two or more sub-spaces in order to describe randomly variable regression relationships in the whole space. With the PRA, we may have an approach to follow or change the relationships in order to realize a particular purpose. The regression models fitted in the piecewise regression analysis are sometimes called piecewise models or threshold models or segmented models.