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Minimal Sufficient $|sigma$-Fields and Minimal Sufficient Statistics. Two Counterexamples
The Annals of Mathematical Statistics, 1972 In this paper there are solved two problems raised by Bahadur (1954) which concern the relation between the existence of a minimal sufficient $\sigma$-field and the existence of a minimal sufficient statistic. Two examples show that the existence of a minimal sufficient $\sigma$-field is neither necessary nor sufficient for the existence of a minimal ...
Landers, Dieter, Rogge, Lothar
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Multivariate Modeling of Some Datasets in Continuous Space and Discrete Time [PDF]
EntropyMultivariate space–time datasets are often collected at discrete, regularly monitored time intervals and are typically treated as components of time series in environmental science and other applied fields.
Rigele Te, Juan Du
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Axioms, 2023 The mathematical concept of infinity, in the sense of Cantor, is rather far from applied mathematics and statistics. These fields can be linked. We comment on the properties of infinite numbers and relate them to some operations with random variables ...
Carles M. Cuadras
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Technology for restoring functional dependencies to determine reliability parameters
Қарағанды университетінің хабаршысы. Математика сериясы, 2021 The problem of determining the properties of the object by analyzing the numerical and qualitative characteristics of a discrete sample is considered.
V.P. Kvasnikov +2 more
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Optimal Nonlinear Prediction of Random Fields on Networks [PDF]
Discrete Mathematics & Theoretical Computer Science, 2003 It is increasingly common to encounter time-varying random fields on networks (metabolic networks, sensor arrays, distributed computing, etc.).This paper considers the problem of optimal, nonlinear prediction of these fields, showing from an information ...
Cosma Rohilla Shalizi
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On the Problem of State Recognition in Injection Molding Based on Accelerometer Data Sets
Sensors, 2022 The last few decades have been characterised by a very active application of smart technologies in various fields of industry. This paper deals with industrial activities, such as injection molding, where it is required to monitor continuously the ...
Julian Brunthaler +4 more
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Energy Return on Investment (EROI) for Forty Global Oilfields Using a Detailed Engineering-Based Model of Oil Production. [PDF]
PLoS ONE, 2015 Studies of the energy return on investment (EROI) for oil production generally rely on aggregated statistics for large regions or countries. In order to better understand the drivers of the energy productivity of oil production, we use a novel approach ...
Adam R Brandt +5 more
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Challenges of Population Policies on Childbearing and Reproductive Health After the Islamic Revolution of Iran [PDF]
Journal of Health Sciences and Surveillance System, 2022 Background: The nature of population policies in the field of health, especially population, fertility, and childbearing is complicated, so the families’ and policymakers’ decision on the quantity and quality of the reproduction and the childbearing ...
Parviz Mirzaei +2 more
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Scientific Reports, 2022 Timely and accurate estimation of rice-growing areas and forecasting of production can provide crucial information for governments, planners, and decision-makers in formulating policies. While there exists studies focusing on paddy rice mapping, only few
Mirza Waleed +14 more
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Confidence intervals: Concepts, fallacies, criticisms, solutions and beyond [PDF]
Network Biology, 2022 For a long time, confidence interval theory is the basis of statistics, and confidence interval has been regarded as an important content of statistical analysis.
WenJun Zhang
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