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1 ments (i.e., the whole spectrum modeled as a probability density function).
2 ysema map was calculated based on the fitted probability density function.
3 quantifies gene-set activity with a complete probability density function.
4 tat quality has either a uniform or a linear probability density function.
5 i.i.d.) draws does not come from a specified probability density function.
6 haracterised by strong memory effects in the probability density function.
7 e presented in a manner similar to that of a probability density function.
8 arious moments of the reduced global turning probability density function.
9 and turning angles are typically reported as probability density functions.
10 timator is one that uses (1/m2) as the prior probability density function and a quadratic loss functi
11                                              Probability density function and operator variance analy
12 capture observed ENSO statistics such as the probability density function and power spectrum of easte
13                            Ensemble-averaged probability density functions and power spectra of the i
14 s are stochastically governed by independent probability density functions; and 2), a finite Hookian
15 ximate analytic expressions for the animal's probability density function are derived.
16  the scheme are a representation of each new probability density function by means of a set of functi
17 ations are shown, including evolution of the probability density function, calculation of closure pro
18 by incorporating a central tendency prior, a probability density function centered at the mean durati
19 Y PET/CT data were combined with microscopic probability-density functions describing microsphere clu
20          The cell population is modeled as a probability density function F(x,t) that depends on cell
21 licit expression of a reduced global turning probability density function for motile bacteria was der
22                                          The probability density function for symptom duration was si
23                                We estimate a probability density function for the sensitivity of clim
24                                              Probability density functions for hitting times are eval
25 e-evolution of the moments of the univariate probability density functions for junctional SR [Ca2+] j
26  standard statistical tests of the recovered probability density functions for the measured observabl
27 our length for loop formation as well as the probability density functions have been found to be stro
28  first peak as well as the first well in the probability density functions increases with the size of
29 ffs, are found to be well characterized by a probability density function involving only two paramete
30                                          Our probability density function is constrained by objective
31 f experimental porosimetry data, a pore size probability density function is introduced to represent
32                                              Probability density functions obtained for the direct ra
33       The spatial model produced a posterior probability density function of estimated annual average
34 al of a model form for the conditional joint probability density function of predator and prey veloci
35 we derived an integral equation relating the probability density function of source strengths, f alph
36 , we derive an analytical expression for the probability density function of the fraction of vesicle
37                                          The probability density function of the interspike intervals
38 s to develop a theoretical model that is the probability density function of the morphometric lengths
39                                          The probability density function of the peak amplitudes of t
40  a new data processing method to extract the probability density functions of the diffusion coefficie
41             Unfortunately, variations in the probability density function often get smoothed over in
42 form of probability distributions (e.g., the probability density function over the orientation of a c
43 , we estimate the tail exponent alpha of the probability density function P(|R|) approximately |R|(-1
44                                    From this probability density function, P-values and confidence in
45      The number of bins used to estimate the probability density function (pdf) affects the speed and
46  subset of three stations with long records, probability density function (PDF) analyses of the 95% p
47                                          The probability density function (pdf) and cumulative densit
48 ng of gasoline particulate filters (GPFs), a probability density function (PDF) based heterogeneous m
49         This dynamic HMF model is based on a probability density function (PDF) description of the po
50                        Either an appropriate probability density function (pdf) model for the coeffic
51                    Theory for changes in the probability density function (pdf) of precipitation accu
52                 To guarantee it, the type of probability density function (pdf) of strength, includin
53 omputation that presupposes knowledge of the probability density function (pdf) of visuo-motor error
54                                              Probability density functions (pdf) described the variab
55                                          The probability density functions (PDF) of [PCr] and VO2 flu
56         Results were post-processed to yield probability density functions (PDFs) describing the circ
57                               1) MEMLET fits probability density functions (PDFs) for many common dis
58 eatures such as intermittency and fat-tailed probability density functions (PDFs).
59                                      The GSI probability density function peaked close to 1 in early
60 tions should be fitted by a t location-scale probability density function rather than by a normal dis
61                          Fitting skew normal probability density functions to our data, we estimate a
62 observed array-CGH signal as sampling from a probability-density function, uses a kernel-based approa
63                                              Probability density function was fit to the joint distri
64 ing process and the transformation rules for probability density functions, we develop adjustments fo
65 es of any stock market is characterized by a probability density function, which is a simple power la
66                                The resulting probability density functions, which contain the preferr
67  model parameters as quantified by posterior probability density functions, which is useful for compa
68 re are assumed to be distributed by Gaussian probability density functions, whose center peaks are lo
69 stribution is found to follow a finite-width probability density function with certain skewness which

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