1985•Biometrical JournalRequires access

Spline and General Regression of Polytomous Data

Ike Basil Onukogu

Open publisher page 2 citations

Abstract

Abstract The paper shows a formulation for a general linear regression as well as a spline regression of multinomial responses on a quantitative input variables. Application of least squares and asymptotic theory yields the F‐test for significance of coefficients and a t‐test for structural discontinuity.

About this research paper

What this paper is about

Abstract The paper shows a formulation for a general linear regression as well as a spline regression of multinomial responses on a quantitative input variables. Application of least squares and asymptotic theory yields the F‐test for significance of coefficients and a t‐test for structural discontinuity.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract The paper shows a formulation for a general linear regression as well as a spline regression of multinomial responses on a quantitative input variables. Application of least squares and asymptotic theory yields the F‐test for significance of coefficients and a t‐test for structural discontinuity.

Key concepts: Polytomous Rasch model, Mathematics, Statistics, Regression, Regression analysis, Linear regression, Spline (mechanical), Spurious relationship

Related papers

Back to paper searchBrowse research topicsOriginal source
Spline and General Regression of Polytomous Data — Research Paper | ScholarLens