Relevant bibliographies by topics / Test de Monte Carlo / Journal articles
To see the other types of publications on this topic, follow the link: Test de Monte Carlo.

Journal articles on the topic 'Test de Monte Carlo'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Test de Monte Carlo.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Ohta, Shigemi. "Self-Test Monte Carlo Method." Progress of Theoretical Physics Supplement 122 (1996): 193–200. http://dx.doi.org/10.1143/ptps.122.193.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Oht, Shigemi. "Self-test Monte Carlo method." Nuclear Physics B - Proceedings Supplements 47, no. 1-3 (March 1996): 788–91. http://dx.doi.org/10.1016/0920-5632(96)00175-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Gangur, Mikuláš, and Milan Svoboda. "Simulation of Bayes' rule by means of Monte Carlo method." Teaching Statistics 40, no. 3 (April 6, 2018): 83–87. http://dx.doi.org/10.1111/test.12158.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Silva, Ivair R., and Renato M. Assunção. "Optimal generalized truncated sequential Monte Carlo test." Journal of Multivariate Analysis 121 (October 2013): 33–49. http://dx.doi.org/10.1016/j.jmva.2013.06.003.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Silva, I., R. Assunção, and M. Costa. "Power of the Sequential Monte Carlo Test." Sequential Analysis 28, no. 2 (April 27, 2009): 163–74. http://dx.doi.org/10.1080/07474940902816601.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Theil, Henri, J. S. Shonkwiler, and Timothy G. Taylor. "A Monte Carlo test of Slutsky symmetry." Economics Letters 19, no. 4 (January 1985): 331–32. http://dx.doi.org/10.1016/0165-1765(85)90230-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Selvanathan, Saroja. "A Monte Carlo test of preference independence." Economics Letters 25, no. 3 (January 1987): 259–61. http://dx.doi.org/10.1016/0165-1765(87)90224-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Piras, Gianfranco, and Nancy Lozano-Gracia. "Spatial J-test: some Monte Carlo evidence." Statistics and Computing 22, no. 1 (November 6, 2010): 169–83. http://dx.doi.org/10.1007/s11222-010-9215-y.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Hunt, R. A., D. R. Dance, M. Pachoud, G. Alm Carlsson, M. Sandborg, G. Ullman, and F. R. Verdun. "Monte Carlo simulation of a mammographic test phantom." Radiation Protection Dosimetry 114, no. 1-3 (May 17, 2005): 432–35. http://dx.doi.org/10.1093/rpd/nch511.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Vishnyakov, Aleksey, and Alexander V. Neimark. "Monte Carlo Simulation Test of Pore Blocking Effects." Langmuir 19, no. 8 (April 2003): 3240–47. http://dx.doi.org/10.1021/la0269107.

Full text
APA, Harvard, Vancouver, ISO, and other styles
11

Silva, Ivair, and Renato Assunção. "Truncated sequential Monte Carlo test with exact power." Brazilian Journal of Probability and Statistics 32, no. 2 (May 2018): 215–38. http://dx.doi.org/10.1214/16-bjps339.

Full text
APA, Harvard, Vancouver, ISO, and other styles
12

Harwell, Michael R. "Summarizing Monte Carlo Results in Methodological Research." Journal of Educational Statistics 17, no. 4 (December 1992): 297–313. http://dx.doi.org/10.3102/10769986017004297.

Full text
Abstract:
Monte Carlo studies provide information that can assist researchers in selecting a statistical test when underlying assumptions of the test are violated. Effective use of this literature is hampered by the lack of an overarching theory to guide the interpretation of Monte Carlo studies. The problem is exacerbated by the impressionistic nature of the studies, which can lead different readers to different conclusions. These shortcomings can be addressed using meta-analytic methods to integrate the results of Monte Carlo studies. Quantitative summaries of the effects of assumption violations on the Type I error rate and power of a test can assist researchers in selecting the best test for their data. Such summaries can also be used to evaluate the validity of previously published statistical results. This article provides a methodological framework for quantitatively integrating Type I error rates and power values for Monte Carlo studies. An example is provided using Monte Carlo studies of Bartlett’s (1937) test of equality of variances. The importance of relating meta-analytic results to exact statistical theory is emphasized.
APA, Harvard, Vancouver, ISO, and other styles
13

Barnett, R. N., P. J. Reynolds, and W. A. Lester. "Is quantum Monte Carlo competitive? Lithium hydride test case." Journal of Physical Chemistry 91, no. 7 (March 1987): 2004–5. http://dx.doi.org/10.1021/j100291a064.

Full text
APA, Harvard, Vancouver, ISO, and other styles
14

Finch, Holmes, and Brian French. "A Monte Carlo Comparison of Robust MANOVA Test Statistics." Journal of Modern Applied Statistical Methods 12, no. 2 (November 1, 2013): 35–81. http://dx.doi.org/10.22237/jmasm/1383278580.

Full text
APA, Harvard, Vancouver, ISO, and other styles
15

Milchev, A., and K. Binder. "Droplet spreading: A Monte Carlo test of Tanner’s law." Journal of Chemical Physics 116, no. 17 (May 2002): 7691–94. http://dx.doi.org/10.1063/1.1465410.

Full text
APA, Harvard, Vancouver, ISO, and other styles
16

Christiansen, J. P., and J. W. Connor. "Self-consistent plasma modelling by Monte Carlo test particles." Plasma Physics and Controlled Fusion 48, no. 10 (September 22, 2006): 1551–71. http://dx.doi.org/10.1088/0741-3335/48/10/007.

Full text
APA, Harvard, Vancouver, ISO, and other styles
17

CONLEY, WILLIAM. "Multi-stage Monte Carlo and non-linear test problems." International Journal of Systems Science 25, no. 1 (January 1994): 155–71. http://dx.doi.org/10.1080/00207729408928950.

Full text
APA, Harvard, Vancouver, ISO, and other styles
18

Kovács, Balázs. "A Monte Carlo permutation test for co-occurrence data." Quality & Quantity 48, no. 2 (December 19, 2012): 955–60. http://dx.doi.org/10.1007/s11135-012-9817-x.

Full text
APA, Harvard, Vancouver, ISO, and other styles
19

Acquah, Henry de-Graft. "A Comparison of Bootstrap and Monte Carlo Approaches to Testing for Symmetry in the Granger and Lee Error Correction Model." Information Management and Business Review 5, no. 5 (May 30, 2013): 240–44. http://dx.doi.org/10.22610/imbr.v5i5.1048.

Full text
Abstract:
In this paper, I investigate the power of the Granger and Lee model of asymmetry via bootstrap and Monte Carlo techniques. The simulation results indicate that sample size, level of asymmetry and the amount of noise in the data generating process are important determinants of the power of the test for asymmetry based on bootstrap and Monte Carlo techniques. Additionally, the simulation results suggest that both bootstrap and Monte Carlo methods are successful in rejecting the false null hypothesis of symmetric adjustment in large samples with small error size and strong levels of asymmetry. In large samples, with small error size and strong levels of asymmetry, the results suggest that asymmetry test based on Monte Carlo methods achieve greater power gains when compared with the test for asymmetry based on bootstrap. However, in small samples, with large error size and subtle levels of asymmetry, the results suggest that asymmetry test based on bootstrap is more powerful than those based on the Monte Carlo methods. I conclude that both bootstrap and Monte Carlo algorithms provide valuable tools for investigating the power of the test of asymmetry.
APA, Harvard, Vancouver, ISO, and other styles
20

FYE, R. M. "PROJECTOR APPROXIMATION AND QUANTUM MONTE CARLO." International Journal of Modern Physics C 05, no. 03 (June 1994): 483–88. http://dx.doi.org/10.1142/s0129183194000660.

Full text
Abstract:
We derive a general approximation for performing quantum Monte Carlo simulations within a desired subspace of the full Hilbert space. We analytically determine the form of the resulting systematic error, allowing controlled extrapolation to exact results. We discuss some numerical applications, including fermion impurity and lattice models with infinite on-site Colulomb repulsion U and quantum spin systems. We demonstrate the use of the approximation in simulations with a test model.
APA, Harvard, Vancouver, ISO, and other styles
21

Zhou, Changxi, Jing Chen, Gerard T. Schuster, and Brackin A. Smith. "A quasi‐Monte Carlo approach to efficient 3-D migration: Field data test." GEOPHYSICS 64, no. 5 (September 1999): 1562–72. http://dx.doi.org/10.1190/1.1444660.

Full text
Abstract:
The quasi‐Monte Carlo migration algorithm is applied to a 3-D seismic data set from West Texas. The field data were finely sampled at approximately 220-ft (67-m) intervals in the in‐line direction but were sampled coarsely at approximately 1320-ft (402-m) intervals in the cross‐line direction. The traces at the quasi‐Monte Carlo points were obtained by an interpolation of the regularly sampled traces. The subsampled traces at the quasi‐Monte Carlo points were migrated, and the resulting images were compared to those obtained by migrating both regular and uniform grids of traces. Results show that, consistent with theory, the quasi‐Monte Carlo migration images contain fewer migration aliasing artifacts than the regular or uniform grid images. For these data, quasi‐Monte Carlo migration apparently requires fewer than half the number of the traces needed by regular‐grid or uniform‐grid migration to give images of comparable quality. These results agree with related migration tests on synthetic data computed for point scatterer models. Our results suggest that better migration images might result from data recorded on a coarse quasi‐random grid compared to regular or uniform coarse grids.
APA, Harvard, Vancouver, ISO, and other styles
22

Dufek, Jan, and Ignas Mickus. "OPTIMISATION OF MONTE CARLO BURNUP SIMULATIONS." EPJ Web of Conferences 247 (2021): 04016. http://dx.doi.org/10.1051/epjconf/202124704016.

Full text
Abstract:
We show here that computing efficiency of Monte Carlo burnup simulations depends on chosen values of certain free parameters, such as the length of the time steps and the number of neutron histories simulated at each Monte Carlo criticality run. The efficiency can thus be improved by optimising these parameters. We have set up a simple numerical model that made it possible for us to test a large number of combinations of the free parameters, and suggest a way to optimise their selection.
APA, Harvard, Vancouver, ISO, and other styles
23

Bindak, Recep. "Comparision Mann-Whitney U Test and Students’ t Test in Terms of Type I Error Rate and Test Power: A Monte Carlo Sımulation Study." Afyon Kocatepe University Journal of Sciences and Engineering 14, no. 1 (January 10, 2014): 5–11. http://dx.doi.org/10.5578/fmbd.7380.

Full text
APA, Harvard, Vancouver, ISO, and other styles
24

ŞAHİN, Mustafa, and Şeyma KOÇ. "MANOVA Test İstatistiklerinin Monte-Carlo Simülasyonu ile Bernoulli Dağılımında Karşılaştırılması." Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 22, no. 3 (September 20, 2018): 1125–31. http://dx.doi.org/10.19113/sdufenbed.469282.

Full text
APA, Harvard, Vancouver, ISO, and other styles
25

Takemura, Akimichi, and Hisayuki Hara. "Markov chain Monte Carlo test of toric homogeneous Markov chains." Statistical Methodology 9, no. 3 (May 2012): 392–406. http://dx.doi.org/10.1016/j.stamet.2011.10.004.

Full text
APA, Harvard, Vancouver, ISO, and other styles
26

Reed, Christopher, and Wayne Reed. "Monte Carlo test of electrostatic persistence length for short polymers." Journal of Chemical Physics 92, no. 11 (June 1990): 6916–26. http://dx.doi.org/10.1063/1.458279.

Full text
APA, Harvard, Vancouver, ISO, and other styles
27

Jhun, Myoungshic, and Pui Lam Leung. "A monte carlo method for foutz's goodness-of-fit test." Journal of Statistical Computation and Simulation 29, no. 4 (June 1988): 309–16. http://dx.doi.org/10.1080/00949658808811070.

Full text
APA, Harvard, Vancouver, ISO, and other styles
28

Paul, Wolfgang, Kurt Binder, Dieter W. Heermann, and Kurt Kremer. "Crossover scaling in semidilute polymer solutions: a Monte Carlo test." Journal de Physique II 1, no. 1 (January 1991): 37–60. http://dx.doi.org/10.1051/jp2:1991138.

Full text
APA, Harvard, Vancouver, ISO, and other styles
29

Sterpin, Edmond, Jefferson Sorriaux, Kevin Souris, Stefaan Vynckier, and Hugo Bouchard. "A Fano cavity test for Monte Carlo proton transport algorithms." Medical Physics 41, no. 1 (December 18, 2013): 011706. http://dx.doi.org/10.1118/1.4835475.

Full text
APA, Harvard, Vancouver, ISO, and other styles
30

Belov, Dmitry I., and Ronald D. Armstrong. "Monte Carlo Test Assembly for Item Pool Analysis and Extension." Applied Psychological Measurement 29, no. 4 (July 2005): 239–61. http://dx.doi.org/10.1177/0146621605275413.

Full text
APA, Harvard, Vancouver, ISO, and other styles
31

Stratigopoulos, Haralampos-G., and Stephen Sunter. "Fast Monte Carlo-Based Estimation of Analog Parametric Test Metrics." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 33, no. 12 (December 2014): 1977–90. http://dx.doi.org/10.1109/tcad.2014.2360458.

Full text
APA, Harvard, Vancouver, ISO, and other styles
32

Forsman, Jan, and Bo Jönsson. "Monte Carlo simulations of hydrophobic interactions: A test particle approach." Journal of Chemical Physics 101, no. 6 (September 15, 1994): 5116–25. http://dx.doi.org/10.1063/1.467367.

Full text
APA, Harvard, Vancouver, ISO, and other styles
33

Fleissig, Adrian R., and Gerald A. Whitney. "A revealed preference test of rationing a Monte Carlo analysis." Economic Modelling 45 (February 2015): 207–11. http://dx.doi.org/10.1016/j.econmod.2014.11.016.

Full text
APA, Harvard, Vancouver, ISO, and other styles
34

Piepho, Hans-Peter. "A Monte Carlo Test for Variance Homogeneity in Linear Models." Biometrical Journal 38, no. 4 (1996): 461–73. http://dx.doi.org/10.1002/bimj.4710380411.

Full text
APA, Harvard, Vancouver, ISO, and other styles
35

Furch, Jan, and Quy Hung Nguyen. "Lifetime Test of Tracked Vehicle Torsion Bars using Monte Carlo Method." Emerging Science Journal 4, no. 5 (October 1, 2020): 376–89. http://dx.doi.org/10.28991/esj-2020-01238.

Full text
Abstract:
The article deals with the service life of torsion bars in tracked vehicles. The aim of the article is to show the suitability of accelerated tests and modelling for determining the service life of torsion bars, which takes many years in real operation. The design of a test bench for accelerated tests is presented together with limiting conditions, which were afterwards verified. Subsequently, a virtual model of the torsion bar of a tracked vehicle was created with the help of finite elements. Dynamic modelling was performed by MSC Adams software with a module using finite elements. Furthermore, the article shows the possibility of using the Monte Carlo method to determine the service life of torsion bars of tracked vehicles. The Monte Carlo utility of Accelerated Life Testing Analysis (ALTA) software is used to obtain failure data at specified test stress levels. Using the Monte Carlo simulation, one data set is generated containing values that are arranged in dependence on the specific lifetime distribution of the Weibull distribution. Finally, a comparison of the experiment with the calculated values is performed. The results obtained can be used to compile an accelerated test plan. This modelling design saves a lot of money and time to determine the life of the torsion bar in tracked vehicles.
APA, Harvard, Vancouver, ISO, and other styles
36

Fowler, Gary W. "The use of Wald's sequential probability ratio test to develop composite three-decision sampling plans." Canadian Journal of Forest Research 15, no. 2 (April 1, 1985): 326–30. http://dx.doi.org/10.1139/x85-053.

Full text
Abstract:
Many sequential sampling plans used in forest sampling are composite three-decision plans based on the simultaneous use of two of Wald's sequential probability ratio tests (SPRTs). Wald's operating characteristic (OC) and average sample number (ASN) equations for each SPRT are used to describe the properties of the composite sampling plan. Wald's equations are only approximate because of "overshooting" of the decision boundaries of the SPRTs and the two SPRTs operate simultaneously in the composite plan. Wald's and Monte Carlo OC and ASN functions were developed for (i) two SPRTs used to develop a three-decision composite plan and (ii) the three-decision composite plan based on the negative binomial distribution. Wald's equations, in general, overestimate the true error probabilities and underestimate the true ASN for a given SPRT. Wald's equations are less accurate in describing the properties of the three-decision plan. Monte Carlo functions are more accurate than Wald's functions. Recommendations are made regarding the choice between Wald's and Monte Carlo functions. A Monte Carlo procedure to modify the decision boundaries of the plan to yield actual error probabilities approximately equal to the desired error probabilities is suggested.
APA, Harvard, Vancouver, ISO, and other styles
37

Demazière, C., A. Tatidis, and P. Vinai. "MONTE CARLO-BASED DYNAMIC CALCULATIONS OF STATIONARY PERTURBATIONS." EPJ Web of Conferences 247 (2021): 21003. http://dx.doi.org/10.1051/epjconf/202124721003.

Full text
Abstract:
Capitalizing on some earlier work, this paper presents a novel Monte Carlo-based approach that allows estimating the neutron noise induced by stationary perturbations of macroscopic cross-sections in the frequency domain. This method relies on the prior computation using Monte Carlo of modified Green’s functions associated to the real part of the dynamic macroscopic cross-sections, mimicking equivalent subcritical problems driven by external neutron sources. Once such modified Green’s functions are estimated, the neutron noise induced by any type of perturbations can be recovered, by solving a linear algebra problem accounting for the interdependence between the real and imaginary parts of the governing balance equations. The newly derived method was demonstrated on a large homogeneous test system and on a small heterogeneous test system to provide results comparable to a diffusion-based solver specifically developed for neutron noise applications. The new method requires the specification by the user of the real part of the Fourier transform of the macroscopic cross-sections. This is accomplished using ACE-formatted cross-section files defined by the user. Beyond this input data preparation, no change to the Monte Carlo source code is necessary. This represents the main advantage of the proposed method as compared to similar efforts requiring extensive modifications to the Monte Carlo source code.
APA, Harvard, Vancouver, ISO, and other styles
38

Harwell, Michael. "Summarizing Monte Carlo Results in Methodological Research: The Single-Factor, Fixed-Effects ANCOVA Case." Journal of Educational and Behavioral Statistics 28, no. 1 (March 2003): 45–70. http://dx.doi.org/10.3102/10769986028001045.

Full text
Abstract:
Results from exact statistical theory and Monte Carlo studies have provided evidence that the test size and power of the F test in analysis of covariance are sensitive to violations of certain assumptions. However, a comprehensive summary of the effect of assumption violations has not been available. In this article, meta-analytic methods are used to summarize the results of Monte Carlo studies of the test size and power of the F test in the single-factor, fixed-effects analysis of covariance model, updating and extending narrative reviews of this literature. Monte Carlo results for the nonparametric rank-transform test in the analysis of covariance model are also analyzed. Guidelines for using these tests when assumptions are violated are presented to promote more judicious use of these procedures.
APA, Harvard, Vancouver, ISO, and other styles
39

Tian, Yi, and Zai-Zai Yan. "Monte Carlo method for solving a parabolic problem." Thermal Science 20, no. 3 (2016): 933–37. http://dx.doi.org/10.2298/tsci1603933t.

Full text
Abstract:
In this paper, we present a numerical method based on random sampling for a parabolic problem. This method combines use of the Crank-Nicolson method and Monte Carlo method. In the numerical algorithm, we first discretize governing equations by Crank-Nicolson method, and obtain a large sparse system of linear algebraic equations, then use Monte Carlo method to solve the linear algebraic equations. To illustrate the usefulness of this technique, we apply it to some test problems.
APA, Harvard, Vancouver, ISO, and other styles
40

Manurung, Kiki Hariani, and Julius Santony. "Simulasi Pengadaan Barang menggunakan Metode Monte Carlo." Jurnal Sistim Informasi dan Teknologi 1, no. 3 (September 17, 2019): 7–11. http://dx.doi.org/10.35134/jsisfotek.v1i3.3.

Full text
Abstract:
Inventory is a very important aspect for the development of a company. Inventory management is needed to determine the inventory of goods needed within a certain period so that market demand can be fulfilled. The data used in this study are inventory data from 2016 to 2018. Data processing in this study uses the Monte Carlo algorithm to predict procurement data. In accelerating data processing, this research applies a Web-based program with the PHP (Hypertext Processor) programming language. The results of testing this method are to obtain predictions of the supply of goods in a certain period of time with the right level of accuracy. From the test results obtained the level of accuracy in predicting inventory stock by 93% so that it can help companies in making decisions in the future.
APA, Harvard, Vancouver, ISO, and other styles
41

Baschnagel, J., M. Wolfgardt, W. Paul, and K. Binder. "Entropy theory and glass transition: A test by Monte Carlo simulation." Journal of Research of the National Institute of Standards and Technology 102, no. 2 (March 1997): 159. http://dx.doi.org/10.6028/jres.102.012.

Full text
APA, Harvard, Vancouver, ISO, and other styles
42

Tse, Y. K., V. V. Anh, and Q. Tieng. "No-cointegration test based on fractional differencing: Some Monte Carlo results." Journal of Statistical Planning and Inference 80, no. 1-2 (August 1999): 257–67. http://dx.doi.org/10.1016/s0378-3758(98)00253-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
43

Goel, L. "Monte Carlo simulation-based reliability studies of a distribution test system." Electric Power Systems Research 54, no. 1 (April 2000): 55–65. http://dx.doi.org/10.1016/s0378-7796(99)00066-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
44

Neng, Shi, Gu Jun-Qiang, Yi Yan-Ming, and Lin Zhen-Min. "An improved south Asian summer monsoon index with Monte Carlo test." Chinese Physics 14, no. 4 (March 17, 2005): 844–49. http://dx.doi.org/10.1088/1009-1963/14/4/037.

Full text
APA, Harvard, Vancouver, ISO, and other styles
45

Yuan, A. "Exact test of Hardy-Weinberg equilibrium by Markov chain Monte Carlo." Mathematical Medicine and Biology 20, no. 4 (December 1, 2003): 327–40. http://dx.doi.org/10.1093/imammb/20.4.327.

Full text
APA, Harvard, Vancouver, ISO, and other styles
46

Li, Ran, Minxian Wang, Li Jin, and Yungang He. "A Monte Carlo Permutation Test for Random Mating Using Genome Sequences." PLoS ONE 8, no. 8 (August 5, 2013): e71496. http://dx.doi.org/10.1371/journal.pone.0071496.

Full text
APA, Harvard, Vancouver, ISO, and other styles
47

Valladares, D., and G. Zgrablich. "A Test of the Horvath–Kawazoe Method by Monte Carlo Simulation." Adsorption Science & Technology 15, no. 1 (February 1997): 15–24. http://dx.doi.org/10.1177/026361749701500102.

Full text
Abstract:
The Horvath–Kawazoe (H–K) method, which is frequently used to obtain the micropore size distributions of microporous materials, has been tested by Monte Carlo Simulation of nitrogen adsorption isotherms. The results show that the H–K method only gives good results when the microporosity is confined to a pore size lower than approximately 13 Å. In this region, although the method can predict the micropore size distribution peak with acceptable precision, it fails for wider distributions.
APA, Harvard, Vancouver, ISO, and other styles
48

Sariban, A., K. Binder, and D. W. Heermann. "Monte Carlo test of the Flory-Huggins theory for polymer mixtures." Physical Review B 35, no. 13 (May 1, 1987): 6873–76. http://dx.doi.org/10.1103/physrevb.35.6873.

Full text
APA, Harvard, Vancouver, ISO, and other styles
49

Ding, Jie, Shili Lin, and Yang Liu. "Monte Carlo Pedigree Disequilibrium Test for Markers on the X Chromosome." American Journal of Human Genetics 79, no. 3 (September 2006): 567–73. http://dx.doi.org/10.1086/507609.

Full text
APA, Harvard, Vancouver, ISO, and other styles
50

Ramaswamy, S., and T. Tang. "Comparison of semiconductor transport models using a Monte Carlo consistency test." IEEE Transactions on Electron Devices 41, no. 1 (1994): 76–83. http://dx.doi.org/10.1109/16.259623.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the bibliographies on the topic 'Test de Monte Carlo' for other source types:
Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography