Results 51 to 60 of about 777 (154)

Model and Variable Selection Procedures for Semiparametric Time Series Regression

Journal of Probability and Statistics, 2009
Semiparametric regression models are very useful for time series analysis. They facilitate the detection of features resulting from external interventions.
Risa Kato, Takayuki Shiohama
doaj   +1 more source

Analysis of The Debtor's Endurance using Cox Regression Semiparametric Method

Jurnal Ilmu Keuangan dan Perbankan, 2022
The aim of this research was conducted to determine the factors that influence the resilience of car loan debtors in an area. The research method used is semiparametric Cox regression on secondary data, WAREHOUSE consisting of the customer profile ...
Vitri Aprilla Handayani*, Widya Reza, Andini Setyo Anggraeni, Garry Rusmadi   +3 more
doaj   +1 more source

Local Eviction Moratoria and the Spread of COVID‐19

Southern Economic Journal, EarlyView.
ABSTRACT At different stages during the initial onset of the COVID‐19 pandemic, various US states and local municipalities enacted eviction moratoria. One of the main aims of these moratoria was to slow the spread of COVID‐19 infections. We deploy a semiparametric difference‐in‐differences approach with an event study specification to examine whether ...
Julia Hatamyar, Christopher F. Parmeter
wiley   +1 more source

STATISTICAL MODELING OF TOURISM INVESTMENT DECISIONS IN INDONESIA USING SEMIPARAMETRIC APPROACH

Barekeng
The tourism potential in Indonesia is very large considering that Indonesia consists of tens of thousands of separate islands. Indonesia has many diverse landscapes, with all its nature wealth and biodiversity in it is an attraction for investors who ...
Yossy Maynaldi Pratama, Adji Achmad Rinaldo Fernandes, Ni Wayan Surya Wardhani, Nurjannah Nurjannah, Solimun Solimun   +4 more
doaj   +1 more source

APLIKASI MODEL REGRESI SEMIPARAMETRIK SPLINE TRUNCATED (Studi Kasus: Pasien Demam Berdarah Dengue (DBD) di Rumah Sakit Puri Raharja)

E-Jurnal Matematika, 2017
Semiparametric regression is a regression model that includes parametric components and nonparametric components in a model. The regression model in this research is truncated spline semiparametric regression with case studies of patients with Dengue ...
NI WAYAN MERRY NIRMALA YANI, I GUSTI AYU MADE SRINADI, I WAYAN SUMARJAYA   +2 more
doaj   +1 more source

Analogies and differences between the logic behind statistical hypothesis testing and proofs by contradiction: What can we learn from them?

Teaching Statistics, EarlyView.
Abstract Statistical hypothesis testing (SHT) is widely employed across numerous scientific disciplines, and a clear understanding of its underlying logic is essential for the broader scientific community. Here, drawing upon both epistemological and statistical perspectives, we aim to clarify—primarily for educational purposes—the logical relationship ...
Maria Cristina Amoretti, Daniele De Martini   +1 more
wiley   +1 more source

swxg: A Python Library for Generalized Multivariate, Multisite, Copula-Based Stochastic Weather Generation

Journal of Open Research Software
swxg is a Python library for generalized multivariate, multisite, copula-based stochastic weather generation. It addresses the challenge of generating realistic, spatially and temporally correlated precipitation and temperature data for water resources ...
Alexander B. Thames, Antonia Hadjimichael, Julianne D. Quinn   +2 more
doaj   +1 more source

Semiparametric tail-index estimation for randomly right-truncated heavy-tailed data [PDF]

Arab Journal of Mathematical Sciences
Purpose – The purpose of this paper is to propose a semiparametric estimator for the tail index of Pareto-type random truncated data that improves the existing ones in terms of mean square error.
Saida Mancer, Abdelhakim Necir, Souad Benchaira   +2 more
doaj   +1 more source

Regulation, Taxation, and Resources: Unpacking Greenhouse Gas Emission Drivers Across G7 Economies

Thunderbird International Business Review, EarlyView.
ABSTRACT Advanced economies are under growing pressure to downscale greenhouse gas (GHG) emissions without undermining growth, yet G7 (Group of Seven) nations, representing almost 10% of the world's population, still generate one quarter of global GHGs.
Mohammad Imtiaz Hossain, Md Emon Ahmed, Mohammad Fakhrul Islam, Md. Karimul Alam, Mohammad Abdullah Al Mamun, Md Tarique Kazi   +5 more
wiley   +1 more source

Mitigating policy uncertainty: What financial markets reveal about firm‐level lobbying

American Journal of Political Science, EarlyView.
Abstract Elections can lead to substantial policy changes and, thus, are a significant source of risk. Firms can respond to such policy uncertainty by lobbying, but it is hard to quantify whether they do so and, if so, how much lobbying benefits them. We construct a new dataset and leverage investors’ expectations of variability in stock returns in the
Kristy Buzard, Nathan Canen, Sebastian Saiegh   +2 more
wiley   +1 more source