Results 261 to 270 of about 846,838 (328)

The Monte Carlo experiment

The Physics Teacher, 1976
H. Brody
openaire   +2 more sources

More on the Monte Carlo experiment

The Physics Teacher, 1976
Angeline Duffy
openaire   +2 more sources

Random Variate Generation for Monte Carlo Experiments

IEEE Transactions on Reliability, 1985
This survey paper describes very briefly the majority of methods for computing general (pseudo) random numbers from the uniformly distributed ones. These methods are: inverse of distribution functions, composition, acceptance/rejection, competing risks, thinning, special relations. The paper gives formulas and algorithms (in FORTRAN).
Leemis, Lawrence, Schmeiser, Bruce
openaire   +2 more sources

Lidar Remote Sensing of Seawater Optical Properties: Experiment and Monte Carlo Simulation

IEEE Transactions on Geoscience and Remote Sensing, 2019
Detecting the vertical profile of optical properties is an important task in the remote sensing of the upper ocean, especially for 3-D reconstruction. Ocean color remote sensing can only provide surface information, while the light detection and ranging (
Dong Liu, Peng Chen, H. Che, Zhipeng Liu, Qun Liu, Q. Song, Sijie Chen, Peituo Xu, Yudi Zhou, Weibiao Chen, B. Han, Xiaolei Zhu, Yan He, Z. Mao, C. Le   +14 more
semanticscholar   +1 more source

Monte Carlo Experiments: Design and Implementation

Structural Equation Modeling: A Multidisciplinary Journal, 2001
The use of Monte Carlo simulations for the empirical assessment of statistical estimators is becoming more common in structural equation modeling research. Yet, there is little guidance for the researcher interested in using the technique. In this article we illustrate both the design and implementation of Monte Carlo simulations. We present 9 steps in
Pamela Paxton, Patrick J. Curran, Kenneth A. Bollen, Jim Kirby, Feinian Chen   +4 more
openaire   +1 more source

Monte Carlo Experiments

2012
In this chapter we design a numerical algorithm to generate nonmonotonic trends with a diversity of shapes comparable to those encountered in practice. This original algorithm is essential for all the rest of the book because it provides the numerical trends on which the estimation methods are tested.
Calin Vamos, Maria Craciun
openaire   +1 more source

Monte Carlo simulations of anomalon experiments

Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 1986
Abstract Computer simulations of low statistics track detector heavy ion collision experiments on projectile fragmentation are presented. We find a non-negligible probability to obtain the recently observed anomalous fragmentation component also with normal fragmentation processes.
B. Norén, B. Jakobsson
openaire   +1 more source

Monte Carlo analysis of sedimentation experiments

Colloid and Polymer Science, 2007
High resolution analysis approaches for sedimentation experiments have recently been developed that promise to provide a detailed description of heterogeneous samples by identifying both shape and molecular weight distributions. In this study, we describe the effect experimental noise has on the accuracy and precision of such determinations and offer a
Borries Demeler, Emre Brookes
openaire   +1 more source

Monte carlo simulations of MATROSHKA experiment outside ISS

2011 Aerospace Conference, 2011
Concerns about the biological effects of space radiation are increasing rapidly due to the perspective of long-duration manned missions, both in relation to the International Space Station (ISS) and to manned interplanetary missions to Mars in the future.
Sihver, L., Puchalska, M., Sato, T., Berger, T., Reitz, G.   +4 more
openaire   +1 more source

Alternative methods for interpreting Monte Carlo experiments

Communications in Statistics - Simulation and Computation, 2022
This is an Accepted Manuscript of an article published by Taylor & Francis in Communications in Statistics - Simulation and Computation on 06/06/2022, available at: http://www.tandfonline.com/10.1080/03610918.2022.2082474. This article will be embargoed until 06/06/2023. ; Research methodologists typically use descriptive statistics and plots to report
Zachary K. Collier, Haobai Zhang, Olushola Soyoye   +2 more
openaire   +1 more source