✦ LIBER ✦

On Estimating the Parameter of a Regression Function without the Condition of Unbiasedness

✍ Scribed by Gurevich, V. A.

Book ID: 118225110
Publisher: Society for Industrial and Applied Mathematics
Year: 1989
Tongue: English
Weight: 403 KB
Volume: 33
Category: Article
ISSN: 0040-585X
DOI: 10.1137/1133112

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A note on the unbiasedness of Swamy's es

A note on the unbiasedness of Swamy's estimator for the random coefficient regression model

✍ U.L.Gouranga Rao 📂 Article 📅 1982 🏛 Elsevier Science 🌐 English ⚖ 319 KB

On the estimation of regression function

On the estimation of regression functions

✍ E. Rafikov 📂 Article 📅 2006 🏛 SP MAIK Nauka/Interperiodica 🌐 English ⚖ 143 KB

Recursive estimation of parameter of a n

Recursive estimation of parameter of a nonlinear regression function

✍ P. S. Knopov 📂 Article 📅 1977 🏛 Springer US 🌐 English ⚖ 413 KB

Using a one-parameter model to sequentia

Using a one-parameter model to sequentially estimate the root of a regression function

✍ Larry Z. Shen; John O'Quigley 📂 Article 📅 2000 🏛 Elsevier Science 🌐 English ⚖ 122 KB

This paper considers sequential estimation of the root of a regression function. We explore the possibility of using a one-parameter model to ÿt data that is collected sequentially and then calculate the value of the design variable for the next observation. This design value itself can serve as an

Estimating the probability density funct

Estimating the probability density function of a shift parameter

✍ M. Ya. Penskaya 📂 Article 📅 1995 🏛 Springer US 🌐 English ⚖ 260 KB

Estimating the conditional variance of a

Estimating the conditional variance of a design consistent regression estimator

✍ Phillip S. Kott 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 627 KB