Results 211 to 220 of about 12,935,189 (257)
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Synchronized sampling improves fault location
IEEE Computer Applications in Power, 1995Transmission line faults must be located accurately to allow maintenance crews to arrive at the scene and repair the faulted section as soon as possible. Rugged terrain and geographical layout cause some sections of power transmission lines to be difficult to reach.
M. Kezunovic, B. Perunicic
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2021
<p>Studying large samples of catchments has been&#160;an&#160;effective means for comparative hydrology as it provides a wide range of hydrological&#160;conditions which can be used to learn similarities and differences&#160;between places. Such analyses typically include an attempt to organize&#160;
Melike Kiraz +2 more
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<p>Studying large samples of catchments has been&#160;an&#160;effective means for comparative hydrology as it provides a wide range of hydrological&#160;conditions which can be used to learn similarities and differences&#160;between places. Such analyses typically include an attempt to organize&#160;
Melike Kiraz +2 more
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Sampling Hard-to-Locate Populations
2017This chapter discusses the challenges that researchers face when conducting surveys on hard-to-survey populations. It begins with an overview of the various conditions that can make it difficult to include some populations in studies or surveys. This includes the population’s being hard to identify and locate or hard to persuade or interview and even ...
Prakash Adhikari, Lisa A. Bryant
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Two samples differing in location
1989In this chapter we’ll develop the mathematical foundation and the asymptotic properties of suitable rank tests with estimated scores for the two-sample problem. We restrict the discussion to the two-sample model in order to present the basic ideas in the simplest form. The corresponding k -sample model will be treated in Section 4.2.
Konrad Behnen, Georg Neuhaus
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Calibrated Data Simplification for Energy-Efficient Location Sensing in Internet of Things
IEEE Internet of Things Journal, 2019The Internet of Things (IoT) has gradually changed the way of people’s lives due to its ability of connecting everything together, and meanwhile the accurate location sensing plays a crucial role in achieving this goal.
Mu Zhou +5 more
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Several-sample location problem
2010In this chapter we consider tests and estimates based on identity, spatial sign, and spatial rank scores in the several independent samples setting. We get multivariate extensions of the Moods test, Wilcoxon-Mann-Whitney test, Kruskal- Wallis test and the two samples Hodges-Lehmann estimator.
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Location-Shifts in Sampling with Unequal Probabilities
Journal of the Royal Statistical Society. Series A (General), 1986The author studies the well-known problem of variance minimization in sampling for population mean estimation from a rather uncommon point of view. He shows that in sampling with unequal probabilities a location- shift of the variable of interest may cause variance reduction both in sampling with and without replacement (the latter case with a bit more
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Infill sampling criteria to locate extremes
Mathematical Geology, 1995Three problem-dependent meanings for engineering “extremes” are motivated, established, and translated into formal geostatistical (model-based) criteria for designing infill sample networks. (1) Locate an area within the domain of interest where a specified threshold is exceeded, if such areas exist.
Alan G. Watson, Randal J. Barnes
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Estimation of location difference for fragmentary samples
Biometrika, 1981Abstract : A class of simple and robust estimators of the difference between location parameters of correlated variables is proposed when some observations on either of the variables are missing. We show that these estimators are consistent, asymptotically normally distributed, and insensitive to outlying observations.
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A two-sample test for location
Communications in Statistics - Theory and Methods, 1988A new test that is based on U-statistics is oroposed for the two-sample local, on problem. This test is sensitive to heavy-tailed distributions.
I.D. Shelty, Z. Govindarajulu
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