Search Results - subject:"Multinomial Data"

Finite- and Large-Sample Inference for Ranks using Multinomial Data with an Application to Ranking Political Parties

Wilhelm, Daniel; Mogstad, Magne; Shaikh, Azeem - 2021

It is common to rank different categories by means of preferences that are revealed through data on choices. A prominent example is the ranking of political candidates or parties using the estimated share of support each one receives in surveys or polls about political attitudes. Since these...

Persistent link: https://www.econbiz.de/10014533048

Finite- and large-sample inference for ranks using multinomial data with an application to ranking political parties

Bazylik, Sergei; Mogstad, Magne; Romano, Joseph P.; … - 2021

Persistent link: https://www.econbiz.de/10012667940

Finite- and large-sample inference for ranks using multinomial data with an application to ranking political parties

Bazylik, Sergei; Mogstad, Magne; Romano, Joseph P.; … - 2021

Persistent link: https://www.econbiz.de/10012667308

A command for significance and power to test for the existence of a unique most probable category

Fellman, Bryan M.; Ensor, Joe - In: Stata Journal 14 (2014) 3, pp. 499-510

The analysis of multinomial data often includes the following question of interest: Is a particular category the most …, cellsupremacy, for the analysis of multinomial data as it pertains to identifying the significantly most probable category; the … planning multinomial data studies. …

Persistent link: https://www.econbiz.de/10010934059

Model Selection for the Trend Vector Model

Yu, Hsiu-Ting; Rooij, Mark - In: Journal of Classification 30 (2013) 3, pp. 338-369

Model selection is an important component of data analysis. This study focuses on issues of model selection for the trend vector model, a model for the analysis of longitudinal multinomial outcomes. The trend vector model is a so-called marginal model, focusing on population averaged evolutions...

Persistent link: https://www.econbiz.de/10010848625