A note on approximation of distribution function for the number of innovation activities

Seung Hoon Yoo; Hye Seon Moon

doi:10.1007/s11192-008-1802-8

A note on approximation of distribution function for the number of innovation activities

Seung Hoon Yoo, Hye Seon Moon

Dept. of Future Energy Convergence

Carnegie Mellon University

Research output: Contribution to journal › Article › peer-review

Abstract

This note attempts to approximate the distribution function for the number of innovation activities (NIA) in the manufacturing sector using the dataset of 2002 Korean Innovation Survey. The mixture model applied here can easily capture the bimodality feature of the NIA distribution and provide some useful information such as the mean of NIA and the effect of a firm's characteristic on whether the firm will undertake innovation activity.

Original language	English
Pages (from-to)	445-452
Number of pages	8
Journal	Scientometrics
Volume	77
Issue number	3
DOIs	https://doi.org/10.1007/s11192-008-1802-8
State	Published - Dec 2008

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abstract = "This note attempts to approximate the distribution function for the number of innovation activities (NIA) in the manufacturing sector using the dataset of 2002 Korean Innovation Survey. The mixture model applied here can easily capture the bimodality feature of the NIA distribution and provide some useful information such as the mean of NIA and the effect of a firm's characteristic on whether the firm will undertake innovation activity.",

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A note on approximation of distribution function for the number of innovation activities

Abstract

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