Statistics in Transition new series - Volume 25, Issue 3 (2024) - CEJSH - Yadda

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Issue details

Publisher

Główny Urząd Statystyczny

Journal

Statistics in Transition new series

Year

2024

Volume

25

Issue

3

Identifiers

Cover

Volume contents

3
- article: A comprehensive exploration of complete cross-validation for circular data (Hasilová K., Horová I., Vališ D., Zámecˇník S.), p. 1-12
- article: Reconstruction of the social cash transfers system in Poland and household wellbeing: 2015-2018 evidence (Szulc A.), p. 13-30
- article: On autoregressive processes with Lindley-distributed innovations: modeling and simulation (Nitha K. U., Krishnarani S. D.), p. 31-47
- article: Comparing logistic regression and neural networks for predicting skewed credit score: a LIME-based explainability approach (Wanjohi J. W., Mpinda B. N., Awe O. O.), p. 49-67
- article: The Measurement of the Gross Domestic Product affected by the shadow economy (Czapkiewicz A., Brzozowska-Rup K.), p. 69-81
- article: Extropy and entropy estimation based on progressive Type-I interval censoring (Qubbaj H. H., Bayoud H. A., Hilow H. M.), p. 83-102
- article: Improved estimation of the mean through regressed exponential estimators based on sub-sampling non-respondents (Sinha R. R., Bharti), p. 103-122
- article: Forecasts of the mortality risk of COVID-19 using the Markov- switching autoregressive model: a case study of Nigeria (2020-2022) (Ayodeji I. O.), p. 123-140
- article: Nonparametric Bayesian optimal designs for Unit Exponential regression model with respect to prior processes(with the truncated normal as the base measure) (Nanvapisheh A. A., Khazaei S., Jafari H.), p. 141-154
- article: The use of the Bennet indicators and their transitive versions for scanner data analysis (Białek J.), p. 155-173
- article: Language independent algorithm for clustering text documents with respect to their sentiment (Korzeniewski J., Idczak A.), p. 175-185
- article: A finite state Markovian queue to let in impatient customers only during K-vacations (Sivasamy R.), p. 187-196

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