Results 31 to 40 of about 693,971 (210)
Interval-Based Hypothesis Testing and Its Applications to Economics and Finance
Econometrics, 2019 This paper presents a brief review of interval-based hypothesis testing, widely used in bio-statistics, medical science, and psychology, namely, tests for minimum-effect, equivalence, and non-inferiority.
Jae H. Kim, Andrew P. Robinson
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The application of statistical methods to assess economic assets
Statistics and Economics, 2017 The article is devoted to consideration and evaluation of machinery, equipment and special equipment, methodological aspects of the use of standards for assessment of buildings and structures in current prices, the valuation of residential, specialized houses, office premises, assessment and reassessment of existing and inactive military assets, the ...
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Outliers in dynamic factor models
, 2007 Dynamic factor models have a wide range of applications in econometrics and applied economics. The basic motivation resides in their capability of reducing a large set of time series to only few indicators (factors). If the number of time series is large
Baragona, Roberto, Battaglia, Francesco
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18. International symposium on econometrics operation research and statistics [PDF]
, 2017 . “XVIII. International Symposium on Econometrics Operations Research and Statistics” hosted by Karadeniz Technical University, Faculty of Economics and Administrative Sciences, Department of Econometrics was held in Trabzon between 5th and 7th of ...
BÖLÜKBAŞ, Mehmet
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Cogent Social SciencesTeacher self-efficacy is one of the most critical factors influencing students’ learning outcomes. Accordingly, school reforms globally have advocated professional learning communities (PLCs) as a school-level approach for improving teachers ...
Mumuni Baba Yidana +1 more
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Journal of Mathematics, 2022 Recent advances in data analysis and processing methods can improve the ability of computational applications to perform complex steps of different tasks.
Faiza Shah +6 more
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Stability in Distribution of Randomly Perturbed Quadratic Maps as Markov Processes
, 2005 Iteration of randomly chosen quadratic maps defines a Markov process: X_{n+1}=\epsilon_{n+1}X_n(1-X_n), where \epsilon_n are i.i.d. with values in the parameter space [0,4] of quadratic maps F_{\theta}(x)=\theta x(1-x). Its study is of significance as an
Bhattacharya, Rabi, Majumdar, Mukul
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The near-extreme density of intraday log-returns [PDF]
, 2011 The extreme event statistics plays a very important role in the theory and practice of time series analysis. The reassembly of classical theoretical results is often undermined by non-stationarity and dependence between increments.
Chakraborti, Anirban +2 more
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Alexandria Engineering JournalThis article introduces a novel extension of the log Kumaraswamy distribution, termed Marshall Olkin log Kumaraswamy (MOLkw). The mathematical and statistical characteristics of the suggested distribution are constructed, encompassing explicit ...
Naif Alotaibi
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Applications of statistical mechanics to economics: entropic origin of the probability distributions of money, income, and energy consumption [PDF]
, 2013 This Chapter is written for the Festschrift celebrating the 70th birthday of the distinguished economist Duncan Foley from the New School for Social Research in New York. This Chapter reviews applications of statistical physics methods, such as the principle of entropy maximization, to the probability distributions of money, income, and global energy ...
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