New fast method for generating discrete random numbers with arbitrary frequency distributions

1974 ◽  
Vol 10 (8) ◽  
pp. 127 ◽  
Author(s):  
A.J. Walker
Keyword(s):  
Random Numbers ◽  
Fast Method ◽  
Frequency Distributions ◽  
Arbitrary Frequency

A Fast Method of Generating Digital Random Numbers

1970 ◽  
Vol 49 (9) ◽  
pp. 2303-2310 ◽  
Author(s):  
C. M. Rader ◽  
L. R. Rabiner ◽  
R. W. Schafer
Keyword(s):  
Random Numbers ◽  
Fast Method

Twister Generator of Poisson Random Numbers with the Use of Cumulative Frequency Technology

2020 ◽  
pp. 101-123
Author(s):  
A.F. Deon ◽  
D.D. Dmitriev ◽  
Yu.A. Menyaev
Keyword(s):  
Poisson Distribution ◽  
Probability Distributions ◽  
Random Variables ◽  
Convergence In Probability ◽  
Random Numbers ◽  
Cumulative Frequency ◽  
New Approach ◽  
Frequency Distributions ◽  
Simulation Results

The widely known generators of Poisson random variables are associated with different modifications of the algorithm based on the convergence in probability of a sequence of uniform random variables to the created stochastic number. However, in some situations, this approach yields different discrete Poisson probability distributions and skipping in the generated numbers. This paper offers a new approach for creating Poisson random variables based on the complete twister generator of uniform random variables, using cumulative frequency technology. The simulation results confirm that probabilistic and frequency distributions of the obtained stochastic numbers completely coincide with the theoretical Poisson distribution. Moreover, combining this new approach with the tuning algorithm of basic twister generation allows for a significant increase in length of the created sequences without using additional RAM of the computer

Measurement of word frequencies in genomic DNA sequences based on partial alignment and fuzzy set

2014 ◽  
Vol 12 (04) ◽  
pp. 1450019
Author(s):  
Fumiya Shida ◽  
Satoshi Mizuta
Keyword(s):  
Fuzzy Set ◽  
Dna Sequences ◽  
Sequence Comparison ◽  
Bacterial Genome ◽  
Fast Method ◽  
Genome Sequences ◽  
Frequency Distributions ◽  
Large Size ◽  
Close Relatives ◽  
Word Frequencies

Accompanied with the rapid increase of the amount of data registered in the databases of biological sequences, the need for a fast method of sequence comparison applicable to sequences of large size is also increasing. In general, alignment is used for sequence comparison. However, the alignment may not be appropriate for comparison of sequences of large size such as whole genome sequences due to its large time complexity. In this article, we propose a semi alignment-free method of sequence comparison based on word frequency distributions, in which we partially use the alignment to measure word frequencies along with the idea of fuzzy set theory. Experiments with ten bacterial genome sequences demonstrated that the fuzzy measurements has the effect that facilitates discrimination between close relatives and distant relatives.

A Novel Functional Assay of Protein C in Human Plasma and fts Comparison with Amidolytic and Anticoagulant Assays

1992 ◽  
Vol 67 (01) ◽  
pp. 046-049 ◽  
Author(s):  
H A Guglielmone ◽  
M A Vides
Keyword(s):  
Oral Anticoagulant ◽  
Protein C ◽  
Activated Protein C ◽  
Protein S ◽  
Normal Subjects ◽  
Test Sample ◽  
Functional Assay ◽  
Fast Method ◽  
Factor Va ◽  
Protein C Activity

SummaryA simple and fast method for the quantitative determination of protein C activity in plasma is here described. The first step consists in the conversion of protein C in the test sample into activated protein C by means of an activator isolated from Southern Copperhead venom. Subsequently, the degradation of factor Va, in presence of protein C-deficient plasma, is measured by the prolongation of the prothrombin time which is proportional to the amount of protein C in the sample. The dose-response curve showed a linear relationship from 6 to 150% protein C activity and the inter- and intra-assay reproducibility was 3.5% and 5.6% respectively. In normal subjects, a mean of protein C level of 98 ± 15% of normal pooled plasma was found. Comparison with the anticoagulant assay in samples of patients with oral anticoagulant, liver cirrhosis, disseminated intravascular coagulation and severe preeclampsia revealed an excellent correlation (r = 0.94, p <0.001). Also, a similar correlation (r = 0.93, p <0.001) existed between amidolytic assay and the method here proposed for all the samples studied without including the oral anticoagulant group. These results allowed us to infer that this method evaluates the ability of protein C to interact with protein S, phospholipids, calcium ions and factor Va.

A fast method for contingency analysis based on P-Q decoupled model.

1987 ◽  
Vol 107 (1) ◽  
pp. 9-16
Author(s):  
Dong Jian Li ◽  
Eiichi Tanaka ◽  
Jun Hasegawa
Keyword(s):  
Fast Method ◽  
Contingency Analysis

Generation of Random Numbers by Means of Optical Manipulator

2011 ◽  
Vol 43 (8) ◽  
pp. 76-80
Author(s):  
Rostislav M. Mikhersky ◽  
Oleg I. Popov
Keyword(s):  
Random Numbers
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