ESTIMASI KURVA REGRESI SPLINE PADA DATA LONGITUDINAL DENGAN METODE KUADRAT TERKECIL

Q3 Arts and Humanities
Totok Hermawan
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引用次数: 1

Abstract

This article examines the estimation of spline regression, especially its use in longitudinal data. Longitudinal data is data obtained based on observations made as many as n objects that are independent with each object being repeatedly observed in different time periods and between observations in the same object are dependent besides longitudinal data is data that can distinguish the diversity of responses caused by The regression curve of the spline was estimated using the least squares. It can be seen that the estimation of the spline regression curve for longitudinal data is a class of linear estimation in response observations and is highly dependent on the knots point k1,k2,...,Kn
用最小的平方法对纵向数据进行抽头曲线的估计
本文研究了样条回归的估计,特别是它在纵向数据中的应用。纵向数据是根据多达n个对象的观测得到的数据,这些观测是独立的,每个对象在不同时间段重复观测,同一对象的观测之间是相关的。此外,纵向数据是可以区分由样条回归曲线的多样性的数据,使用最小二乘法估计。可以看出,纵向数据的样条回归曲线的估计是响应观测中的一类线性估计,高度依赖于结点k1,k2,…,Kn
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来源期刊
Intersections
Intersections Arts and Humanities-Literature and Literary Theory
CiteScore
0.10
自引率
0.00%
发文量
4
审稿时长
20 weeks
期刊介绍: Intersections is a peer-reviewed series on interdisciplinary topics in early modern studies. Contributions may come from any of the disciplines within the humanities, such as history, art history, literary history, book history, church history, social history, cultural history, and history of ideas. Each volume focuses on a single theme and consists of essays that explore new perspectives on the subject of study. The series aims to open up new areas of research on early modern culture and to address issues of interest to a wide range of disciplines.
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