Generalized Modified Inverse Weibull Distribution: Its Properties and ApplicationsSpringer Science and Business Media LLC - Tập 82 - Trang 247-269 - 2019
Hadi Saboori, Ghobad Barmalzan, Seyyed Masih Ayat
In this paper, we introduce a new useful continuous distribution called generalized modified inverse Weibull distribution. This distribution is a four-parameter extension of the modified inverse Weibull which generalizes some well-known distributions. Various statistical and probabilistic properties are derived such as rth moment, moment generating function, Renyi and Shannon entropies and hazard ...... hiện toàn bộ
A History of the Delta Method and Some New ResultsSpringer Science and Business Media LLC - Tập 85 - Trang 272-306 - 2023
Anil K. Bera, Malabika Koley
Use of the delta method in statistics and econometrics is ubiquitous. Its mention can be found in almost all advanced statistics and econometrics textbooks but mostly without any reference. It appears that nobody knows for certain when the first paper on the topic was published or how the idea was first conceived. A seemingly unrelated method to find the asymptotic variance of a statistic involvin...... hiện toàn bộ
Exponent of Cross-sectional Dependence for ResidualsSpringer Science and Business Media LLC - Tập 81 - Trang 46-102 - 2019
Natalia Bailey, George Kapetanios, M. Hashem Pesaran
In this paper, we focus on estimating the degree of cross-sectional dependence in the error terms of a classical panel data regression model. For this purpose we propose an estimator of the exponent of cross-sectional dependence denoted by α, which is based on the number of non-zero pair-wise cross correlations of these errors. We prove that our estimator$, \tilde {\alpha }$, is consistent and der...... hiện toàn bộ
On Exact Inferential Results for a Simple Step-Stress Model Under a Time ConstraintSpringer Science and Business Media LLC - - 2019
Julian Górny, Erhard Cramer
In simple step-stress models based on exponential distributions, the distributions of the MLEs are commonly obtained using the moment generating function. In this paper, we propose an alternative method, the so-called expected value approach, introduced in Górny (2017) to derive the exact distribution of the MLEs. Moreover, we discuss the benefits of this technique. Further, assuming uniformly dis...... hiện toàn bộ
Bayesian Wavelet Analysis Using Nonlocal Priors with an Application to fMRI AnalysisSpringer Science and Business Media LLC - Tập 79 - Trang 361-388 - 2017
Nilotpal Sanyal, Marco A. R. Ferreira
We propose a Bayesian hierarchical wavelet methodology for nonparametric regression based on nonlocal priors. Our methodology assumes for the wavelet coefficients a prior that is a mixture of a point mass at zero and a Johnson-Rossell nonlocal prior. We consider two choices of Johnson-Rossell nonlocal priors: the moment prior and the inverse moment prior. To borrow strength across wavelet coeffici...... hiện toàn bộ
Shaikh and Ragab’s Incomes of the Vast Majority: Some Additions and ExtensionsSpringer Science and Business Media LLC - Tập 77 - Trang 359-370 - 2015
Peter J. Lambert, S. Subramanian
The ‘vast majority of incomes ratio (VMIR)’ R
0 is the ratio of the average income µ
0 of a poorest majority p
0 of the population to the overall average income µ. Another measure of equality is E
0=(1-G) , where G is the Gini coefficient of inequality of the distribution. Shaikh and Ragab (2007, 2008),...... hiện toàn bộ
Review of Statistical Approaches for Modeling High-Frequency Trading DataSpringer Science and Business Media LLC - Tập 85 - Trang 1-48 - 2022
Chiranjit Dutta, Kara Karpman, Sumanta Basu, Nalini Ravishanker
Due to technological advancements over the last two decades, algorithmic trading strategies are now widely used in financial markets. In turn, these strategies have generated high-frequency (HF) data sets, which provide information at an extremely fine scale and are useful for understanding market behaviors, dynamics, and microstructures. In this paper, we discuss how information flow impacts the ...... hiện toàn bộ