activity
20132025
most citedEasy estimation by a new parameterization for the three-parameter lognormal distribution

6 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

math.HO2025

Ranks of Checkered Pattern Matrices with Applications to Information Embedding and Retrieving

Hideo Hirose

Checkered patterns are characterized by their square structure and the use of only two distinct colors. These colors are typically represented by two types of numerical sets: {1,0}…

stat.ME2025

Analytics of Adaptive Online Testing in Practice Over a Decade

Hideo Hirose

Adaptive online testing efficiently assesses examinee proficiency by dynamically adjusting the difficulty of test items based on their performance. To achieve this, items are selec…

stat.CO2022

Matrix Decomposition Perspective for Accuracy Assessment of Item Response Theory

Hideo Hirose

The item response theory obtains the estimates and their confidence intervals for parameters of abilities of examinees and difficulties of problems by using the observed item respo…

stat.AP2020★ 2 cited

A Relationship Between SIR Model and Generalized Logistic Distribution with Applications to SARS and COVID-19

Hideo Hirose

This paper shows that the generalized logistic distribution model is derived from the well-known compartment model, consisting of susceptible, infected and recovered compartments,…

stat.OT2018

Key Factor Not to Drop Out is to Attend the Lecture

Hideo Hirose

In addition to the learning check testing results performed at each lectures, we have extended the factors to find the key dropping out factors. Among them are, the number of succe…

cs.CY2018

Prediction of Success or Failure for Final Examination using Nearest Neighbor Method to the Trend of Weekly Online Testing

Hideo Hirose

Using the trends of estimated abilities in terms of item response theory for online testing, we can predict the success/failure status for the final examination to each student at…

math.ST2013★ 6 cited

Easy estimation by a new parameterization for the three-parameter lognormal distribution

Yoshio Komori, Hideo Hirose

A new parameterization and algorithm are proposed for seeking the primary relative maximum of the likelihood function in the three-parameter lognormal distribution. The parameteriz…