Advances in Applied Probability · 2000 · 17 citations · 31 references
Natural SciencesMathematicsGeometryProbability TheoryStatisticsEstimation TheorySampling TheorySpherical GeometryStatistical InferenceAsymptotic PropertiesSamplingSampling Error EstimationSystematic Sampling
Useful approximations have been developed along the years to predict the precision of systematic sampling for measurable functions of a bounded support in ℝ d . Recently, the theory of systematic sampling on ℝ has received a thrust. In geometric sampling, design based unbiased estimators exist, however, which imply systematic sampling on the circle (𝕊 1 ) and the semicircle (ℍ 1 ); the planimeter estimator of an area, or the Buffon-Steinhaus estimator of curve length in the plane constitute popular examples. Over the last two decades, many other estimators of geometric measures have been obtained which imply systematic sampling also on the sphere (𝕊 2 ). In this paper we adapt the theory available for non-periodic functions of bounded support on ℝ to periodic functions, and thereby to 𝕊 1 and ℍ 1 , and we obtain new estimators of the corresponding variance approximations. Further we consider - we believe for the first time - the problem of predicting the precision of systematic sampling in 𝕊 2 . The paper starts with a historical perspective, and ends with suggestions for further research.
31
Handbook of Mathematical Functions
Donald A. McQuarrie · American Journal of Physics · 1966 · 40.9K citations
Table of Integrals, Series, and Products.
K. S. Kölbig, I. S. Gradshteyn, I.M. RYZHIK et al. · Mathematics of Computation · 1995 · 9.6K citations
Noel Cressie · Terra Nova · 1992 · 8.9K citations
Computing, Geography, Geoinformatics +12
The efficiency of systematic sampling in stereology — reconsidered
H. J. G. Gundersen, Eva B. Vedel Jensen, Kiên Kiêu et al. · Journal of Microscopy · 1999 · 1.3K citations