Loading...
Please wait, while we are loading the content...
- Nonparametric Regression
| Content Provider | Scilit |
|---|---|
| Author | Korosteleva, Olga |
| Copyright Year | 2013 |
| Description | For some data sets it is impossible to describe the relation between the response variable y and predictor variables x1; : : : ;xk by a function of an a priori known form (for example, polynomial or exponential). A useful tool in this case is a nonparametric regression, specified by y= f (x1; : : : ;xk)+ e (4.1) where f is a nonparametric response function with no explicit functional form, and e's are independent identically distributed random errors with a zero mean and constant variance s2. No assumption is made on the form of the probability distribution of e's. Book Name: Nonparametric Methods in Statistics with SAS Applications |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2012-0-12088-9&isbn=9780429186271&doi=10.1201/b15387-6&format=pdf |
| DOI | 10.1201/b15387-6 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2013-08-19 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Nonparametric Methods in Statistics with Sas Applications Statistics and Probability Function Variance Nonparametric Polynomial Explicit Exponential Made Specified Priori |
| Content Type | Text |
| Resource Type | Chapter |
