An Overview of the Frequentist Approach to Estimation

Springer Series in Statistics - A Comparison of the Bayesian and Frequentist Approaches to Estimation ◽

10.1007/978-1-4419-5941-6_2 ◽

2010 ◽

pp. 15-31

Author(s):

Francisco J. Samaniego

Keyword(s):

Frequentist Approach

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Impact of Model Choice on LR Assessment in Case of Rare Haplotype Match (Frequentist Approach)

Scandinavian Journal of Statistics ◽

10.1111/sjos.12250 ◽

2016 ◽

Vol 44 (1) ◽

pp. 230-248 ◽

Cited By ~ 11

Author(s):

Giulia Cereda

Keyword(s):

Model Choice ◽

Rare Haplotype ◽

Frequentist Approach

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Bayesian and Frequentist Approach to Time Series Forecasting with Application to Kenya’s GDP per Capita

International Journal of Data Science and Analysis ◽

10.11648/j.ijdsa.20190503.11 ◽

2019 ◽

Vol 5 (3) ◽

pp. 27

Author(s):

Nathan Musembi

Keyword(s):

Time Series ◽

Time Series Forecasting ◽

Gdp Per Capita ◽

Frequentist Approach ◽

Per Capita

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Boolean Monte Carlo Method

10.31219/osf.io/exu5p ◽

2019 ◽

Cited By ~ 1

Author(s):

Takuma Usuzaki ◽

Minoru Shimoyama ◽

Shuji Chiba ◽

Naoko Mori

Keyword(s):

Monte Carlo ◽

Monte Carlo Method ◽

Contingency Table ◽

Contingency Tables ◽

Medical Test ◽

Frequentist Approach ◽

Large Numbers ◽

Result Analysis ◽

Variable Analysis

A medical test and accuracy of diagnosis are often discussed with contingency tables. However, it is difficult to apply a contingency table to multivariate cases because the number of possible categories increases exponentially. We hypothesize that randomly assigning Boolean operators and focusing on frequencies of Boolean operators could explain the outcome correctly, obtain the tendencies of operators, and overcome difficulties in analyzing large numbers of variables and categories. The aims of this paper are introducing a method to obtain tendencies of Boolean operators and expanding 2 by 2 contingency tables to multivariate cases. To test this method, we construct two types of data: 1) when variables and outcome were randomly determined and 2) when the outcome depends on one variable. Analysis of the first type of data by this method showed that there was no significant result. Analysis of the second type of data reflected the bias of the data. As far as we know, this is the first attempt to use a frequentist approach to randomly assigned Boolean operators.

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