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  1. 41
    A Comparison of Limited Information Estimation Methods for the Two-Parameter Normal-Ogive Model with Locally Dependent Items

    A Comparison of Limited Information Estimation Methods for the Two-Parameter Normal-Ogive Model with Locally Dependent Items by Alexander Robitzsch

    Published 2024-06-01
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  2. 42
    Bayesian Bandwidths in Semiparametric Modelling for Nonnegative Orthant Data with Diagnostics

    Bayesian Bandwidths in Semiparametric Modelling for Nonnegative Orthant Data with Diagnostics by Célestin C. Kokonendji, Sobom M. Somé

    Published 2021-03-01
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  3. 43
    The Mediating Impact of Innovation Types in the Relationship between Innovation Use Theory and Market Performance

    The Mediating Impact of Innovation Types in the Relationship between Innovation Use Theory and Market Performance by Shieh-Liang Chen, Kuo-Liang Chen

    Published 2023-12-01
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  4. 44
    Bias-Corrected Maximum Likelihood Estimation and Bayesian Inference for the Process Performance Index Using Inverse Gaussian Distribution

    Bias-Corrected Maximum Likelihood Estimation and Bayesian Inference for the Process Performance Index Using Inverse Gaussian Distribution by Tzong-Ru Tsai, Hua Xin, Ya-Yen Fan, Yuhlong Lio

    Published 2022-11-01
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  5. 45
    Assessing Regional Entrepreneurship: A Bootstrapping Approach in Data Envelopment Analysis

    Assessing Regional Entrepreneurship: A Bootstrapping Approach in Data Envelopment Analysis by Ioannis E. Tsolas

    Published 2022-11-01
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  6. 46
    Terroir in View of Bibliometrics

    Terroir in View of Bibliometrics by Christos Stefanis, Elpida Giorgi, Giorgios Tselemponis, Chrysa Voidarou, Ioannis Skoufos, Athina Tzora, Christina Tsigalou, Yiannis Kourkoutas, Theodoros C. Constantinidis, Eugenia Bezirtzoglou

    Published 2023-09-01
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  7. 47
    Computationally Efficient Poisson Time-Varying Autoregressive Models through Bayesian Lattice Filters

    Computationally Efficient Poisson Time-Varying Autoregressive Models through Bayesian Lattice Filters by Yuelei Sui, Scott H. Holan, Wen-Hsi Yang

    Published 2023-10-01
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  8. 48
    Resampling under Complex Sampling Designs: Roots, Development and the Way Forward

    Resampling under Complex Sampling Designs: Roots, Development and the Way Forward by Pier Luigi Conti, Fulvia Mecatti

    Published 2022-03-01
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  9. 49
    A Spatial–Temporal Bayesian Model for a Case-Crossover Design with Application to Extreme Heat and Claims Data

    A Spatial–Temporal Bayesian Model for a Case-Crossover Design with Application to Extreme Heat and Claims Data by Menglu Liang, Zheng Li, Lijun Zhang, Ming Wang

    Published 2024-11-01
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  10. 50
    Parametric Estimation in Fractional Stochastic Differential Equation

    Parametric Estimation in Fractional Stochastic Differential Equation by Paramahansa Pramanik, Edward L. Boone, Ryad A. Ghanam

    Published 2024-07-01
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  11. 51
    A Spatial Gaussian-Process Boosting Analysis of Socioeconomic Disparities in Wait-Listing of End-Stage Kidney Disease Patients across the United States

    A Spatial Gaussian-Process Boosting Analysis of Socioeconomic Disparities in Wait-Listing of End-Stage Kidney Disease Patients across the United States by Sounak Chakraborty, Tanujit Dey, Lingwei Xiang, Joel T. Adler

    Published 2024-06-01
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  12. 52
    Jump-Robust Realized-GARCH-MIDAS-X Estimators for Bitcoin and Ethereum Volatility Indices

    Jump-Robust Realized-GARCH-MIDAS-X Estimators for Bitcoin and Ethereum Volatility Indices by Julien Chevallier, Bilel Sanhaji

    Published 2023-12-01
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  13. 53
    Integrating Proteomic Analysis and Machine Learning to Predict Prostate Cancer Aggressiveness

    Integrating Proteomic Analysis and Machine Learning to Predict Prostate Cancer Aggressiveness by Sheila M. Valle Cortés, Jaileene Pérez Morales, Mariely Nieves Plaza, Darielys Maldonado, Swizel M. Tevenal Baez, Marc A. Negrón Blas, Cayetana Lazcano Etchebarne, José Feliciano, Gilberto Ruiz Deyá, Juan C. Santa Rosario, Pedro Santiago Cardona

    Published 2024-08-01
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  14. 54
    Maximum Penalized-Likelihood Structured Covariance Estimation for Imaging Extended Objects, with Application to Radio Astronomy

    Maximum Penalized-Likelihood Structured Covariance Estimation for Imaging Extended Objects, with Application to Radio Astronomy by Aaron Lanterman

    Published 2024-12-01
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  15. 55
    Model Validation of a Single Degree-of-Freedom Oscillator: A Case Study

    Model Validation of a Single Degree-of-Freedom Oscillator: A Case Study by Edward Boone, Jan Hannig, Ryad Ghanam, Sujit Ghosh, Fabrizio Ruggeri, Serge Prudhomme

    Published 2022-11-01
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  16. 56
    Hierarchical Time Series Forecasting of Fire Spots in Brazil: A Comprehensive Approach

    Hierarchical Time Series Forecasting of Fire Spots in Brazil: A Comprehensive Approach by Ana Caroline Pinheiro, Paulo Canas Rodrigues

    Published 2024-06-01
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  17. 57
    Statistical Framework: Estimating the Cumulative Shares of Nobel Prizes from 1901 to 2022

    Statistical Framework: Estimating the Cumulative Shares of Nobel Prizes from 1901 to 2022 by Xu Zhang, Bruce Golden, Edward Wasil

    Published 2024-01-01
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  18. 58
    Statistical Analysis in the Presence of Spatial Autocorrelation: Selected Sampling Strategy Effects

    Statistical Analysis in the Presence of Spatial Autocorrelation: Selected Sampling Strategy Effects by Daniel A. Griffith, Richard E. Plant

    Published 2022-12-01
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  19. 59
    A County-Level Analysis of the Economic Performance in Romania and Bulgaria Using Hierarchical Algorithms

    A County-Level Analysis of the Economic Performance in Romania and Bulgaria Using Hierarchical Algorithms by Alexandra-Nicoleta Ciucu (Durnoi), Camelia Delcea, Kosyo Stoychev

    Published 2024-10-01
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  20. 60
    On Underdispersed Count Kernels for Smoothing Probability Mass Functions

    On Underdispersed Count Kernels for Smoothing Probability Mass Functions by Célestin C. Kokonendji, Sobom M. Somé, Youssef Esstafa, Marcelo Bourguignon

    Published 2023-11-01
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