estimation of subsequent systemic exposure—physiological models

... order of the highest to the lowest sensitivity To make the adjustment of the net influence of each of the remaining parameters on the already selected parameters, all of the original columns of ... comparison of the UKF to other methods of parameter estimation, the identifiability analysis was performed separately This should not affect the advantage of integration of identifiability with estimation, ... reactions, each of which is made up of the sum or difference of individual rate laws (see Additional file 1, Supplementary data) The vector X is the state vector of the model, values of which are...

Ngày tải lên: 20/06/2014, 22:20

... components of B- within the sparsity pattern of R + R This part of B-’ is called the ’sparse inverse’ of T B and can be computed cheaply; cf Appendix The use of the sparse inverse for the calculation of ... of the inverse of a sparse matrix, Comm ACM 18 (1975) 177-179 [10] Fellner W., Robust estimation of variance components, Technometrics 28 (1986) 51- [8] 60 Burns P., Large-scale estimation of ... components), but also reduces the number of iterations by a factor of around three, thereby expanding the scope of REML covariance component estimation in animal breeding models considerably No previous...

Ngày tải lên: 09/08/2014, 18:22

... Joint and conditional estimation of tagging and parsing models In Proc of ACL D Klein and C D Manning 2002 Conditional structure vs conditional estimation in NLP models In Proc of EMNLP J Lafferty, ... “M -estimation to refer to the minimization of (w) as a way of training a log-linear model Algorithms for Models of Sequences and Trees The first step is to compute path-sums into and out of each ... performance of the HMM and test different estimation methods, we use Sha and Pereira’s feature templates, which include subsequences of labels, tags, and words of different lengths and offsets Here,...

Ngày tải lên: 20/02/2014, 12:20

... All of the HMM models investigated in this section are instances of a certain kind of graphical model that Pearl (1988) calls “Bayes nets”; Figure sketches the networks that correspond to all of ... difficulty of conditional estimation of a PCFG made it necessary to perform the experiment on a tiny training and test corpus In order to avoid the computational difficulty of conditional estimation, ... may provide an insightful explanation of these results None of the models investigated here are stateof-the-art; the goal here is to compare two different estimation procedures, and for that reason...

Ngày tải lên: 08/03/2014, 05:20

... retraining of models in order to sustain estimation accuracy We showed that resampling the data set substantially reduces the training time without sacrificing estimation accuracy of models All models ... http://www.jneuroengrehab.com/content/8/1/56 Page of 12 Half of the summation of PCSA values for non-primary flexors was added to each of the two primary flexors while a third of the summation of PCSA values for nonprimary ... summation of PCSA of all flexor muscles, ΣPCSA extensors is the summation of PCSA of all extensor muscles, PCSAflexor is the PCSA of the flexor muscle used for training, PCSAextensor is the PCSA of...

Ngày tải lên: 19/06/2014, 08:20

... ln p(x|γ) of x as a function of γ Here L(γ; x) can be decomposed as the sum of the log-likelihood of u as a function of g and of the log-likelihood of ε∗ = y − Xβ − Zu as a function of r, L(γ; ... Since the pioneer work of Laird and Ware [13] and of Diggle [3], random effects models [17] have been the cornerstone of statistical analysis used in biometry for this kind of data In fact, as well ... estimates of the parameters of those models were computed via the techniques presented previously Iterations were stopped when the norm ∆γi i γi / of both g and r, was smaller than 10−6 Estimates of...

Ngày tải lên: 09/08/2014, 18:21

... number of observations, and the number of observations often exceeds 106 Thus, a method to estimate genetic heterogeneity of the residual variance in animal models with a large number of observations ... using the ASReml [16] software Hereby, estimation of variance components in animal models with a large number of observations is possible We Figure Leverages for the mean part of the model Leverages ... shown) Hence, the GenStat version of DHGLM is suitable for Page of 10 sire models but not for animal models if the number of observations is large An advantage of GenStat, however, is that it produces...

Ngày tải lên: 14/08/2014, 13:21

... joint estimation ofp and u When the prior density assigned to U2is flat, then the mode of the marginal posterior distribution of Jflis identical to the maximum of u the marginal likelihood of or2 ... elements ofp pertain to levels of fixed effects such as herd, year and season, whereas those of the vector u pertain to &dquo;random&dquo; effects of the animals being recorded and of their known ... breeding applications, often p +q > n For example, in ’animal’ models with a single observation per recorded individual, the dimension of u is often greater than the number of observations, that...

Ngày tải lên: 14/08/2014, 19:22

... case of cooling loads though, infiltration under the right circumstances can offset some of the load requirement [9] Whether free cooling provided by infiltration can be availed of is a matter of ... consumption of a building [13] This narrates the importance of studying the air leakage characteristics of buildings This paper presents the results from an experimental analysis of the airtightness of ... simulation study of residential building prototypes in the United States (USA), the authors estimated infiltration as one of the two major components of heat loss from buildings [3] In terms of heat gain,...

Ngày tải lên: 09/09/2015, 10:32

... SHRINKAGE ESTIMATION OF NONLINEAR MODELS AND COVARIANCE MATRIX JIANG QIAN (B.Sc and M.Sc Nanjing University) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF STATISTICS ... Identification 61 3.3 Model Estimation 63 3.3.1 Profile Least-square Estimation of PVCM 63 3.3.2 Refinement of Estimation Based on the Adaptive Lasso ... consider a new way of covariance matrix estimation through variate clustering viii ix List of Tables Table 2.1 Estimation results for Example 2.1 under Setup 30 Table 2.2 Estimation results...

Ngày tải lên: 09/09/2015, 17:55

... value of the Asymptotic Variance of ρˆ (By plugging the estimates of (π, ρ)) into formulas: (2.29), (2.28), (2.26) and (2.21) iv 65 4.5 The Estimated value of the Asymptotic Variance of ρˆ ... form of the asymptotic variances of the analysis of variance estimator ρA , the κ-type estimator ρF C and the Pearson estimator ρP earson , under the distribution of the generalized binomial models ... three values of the number of clusters(sample size) k (10, 25, 50), two distributions of the number of individuals within the cluster(cluster size) ni and three probability distributions of Si (the...

Ngày tải lên: 05/10/2015, 21:28

... Difference of SSE of ACF for n=500 with p=3 48 4.12 Difference of SSE of ACF for n=500 with p=4 48 4.13 Difference of SSE of ACF for n=1000 with p=1 49 4.14 Difference of ... SSE of ACF for n=2000 with p=1 50 4.18 Difference of SSE of ACF for n=2000 with p=2 50 4.19 Difference of SSE of ACF for n=2000 with p=3 50 4.20 Difference of SSE of ... MULTISTEP YULE-WALKER ESTIMATION OF AUTOREGRESSIVE MODELS YOU TINGYAN (B.Sc Nanjing Normal University) A THESIS SUBMITTED FOR THE DEGREE OF MASTER OF SCIENCE DEPARTMENT OF STATISTICS AND APPLIED...

Ngày tải lên: 16/10/2015, 11:59

... properties of the soil used for training of the MANN models are shown in Table Class Relative Importance (%) Table Properties of the soil used for learning of the MANN models Range of values Water ... the reliance of the ANN Fig Flow chart for programming of the artificial neural network DESIGN ARTIFICIAL NEURAL NETWORK MODEL VERIFICATIONS OF MANN MODEL Neural networks are computer models that ... database for the physical properties of the soil and results of consolidation test, to learn the database, and to predict the properties of consolidation SELECTION OF STRAIN RATE r= V − Vmin Vmax...

Ngày tải lên: 22/03/2013, 15:01

... the change of flow rate with time, specific discharge was calculated for estimating runoff ratio of each measured precipitation event Specific discharge is defined as the ratio of runoff loadings ... loadings to the area of a river basin, and runoff ratio is defined as the ratio of specific discharge to precipitation amount Runoff loadings were obtained by the subtraction of base flow from total ... to that of the runoff ratio (Figure 4) So it could also be deduced that the outflow of PAHs did not happen easily when there was less than a certain amount of precipitation The load of PAHs increased...

Ngày tải lên: 05/09/2013, 09:38

... majority of clusters of the data are close to the regression line Figures 3, 4, 5, and show the scatter plots of calculated and measured global hourly solar radiation for the cities of Mosul, ... determination of hourly values of total solar radiation from daily summation Archives of Meteorology Geophysics and Bioklimatology Series B 1956, 7, 197 [3] Hottel H.C., Whiller A Evaluation of flate ... from hours of sunshine Energy Conversion and Management 1996, 37, 501-504 [9] Ahmad M Jamil, Tiwari G.N Evaluation and comparison of hourly solar radiation models International Journal of Energy...

Ngày tải lên: 05/09/2013, 14:59

... dome shape) roof structure as shown by the pictorial view of skylight dome in Figure 13 shows the schematic diagram of dome shape skylight rooms There are three numbers of dome shape roof structure ... area of room under big dome (Af, m2) Floor area of room under small dome (Af, m2) Total area of glazing (Ag, m2) for big dome Total area of glazing (Ag, m2) for small dome Transmittance of glazing ... vertical places based on normal office hour of 08.0–17.0 The effects of inclination can be observed The horizontal illuminance is around one and a half times of the vertical illuminance It can...

Ngày tải lên: 05/09/2013, 16:10

... potential (m3/mg of waste), Mi = the mass of solid waste in the ith section of the landfill (mg), ti = the age of the ith section of the section of the landfill (years), t = the age of the landfill ... Journal of Energy and Environment (IJEE), Volume 4, Issue 1, 2013, pp.85-92 Figure Graph of frequency against range of values of age of landfill (t) Figure represents range of values of the total ... 0.0496, and 0.223 respectively Figure Graph of the frequency against the range of values of CNMOC Figure Graph of frequency against range of values of average annual acceptance rate ® ISSN 2076-2895...

Ngày tải lên: 05/09/2013, 16:11

... Background • Parameter estimation is a key step in development of mathematical models • Models of interest may be ODEs/DAEs • Minimization of a weighted squared error r φ = θ,z µ s.t (zµ,m − zµ,m )2 ... possible to compute Taylor models of complex functions Taylor Models - Range Bounding • Exact range bounding of the interval polynomials – NP hard • Direct evaluation of the interval polynomials ... extension of a function f (x) over X F (X) ⊇ {f (x) | x ∈ X} • Natural interval extension – leads to overestimation (dependence problem) Taylor Models • Taylor Model Tf – an interval extension of a...

Ngày tải lên: 12/01/2014, 22:03

... Background • Parameter estimation is a key step in development of mathematical models • Models of interest may be ODEs/DAEs • Minimization of a weighted squared error r φ = θ,z µ s.t (zµ,m − zµ,m )2 ... possible to compute Taylor models of complex functions Taylor Models - Range Bounding • Exact range bounding of the interval polynomials – NP hard • Direct evaluation of the interval polynomials ... extension of a function f (x) over X F (X) ⊇ {f (x) | x ∈ X} • Natural interval extension – leads to overestimation (dependence problem) Taylor Models • Taylor Model Tf – an interval extension of a...

Ngày tải lên: 12/01/2014, 22:16

... course of S(t) Simulation of the model also requires knowledge of the initial values, S0 and I0 , which must also be estimated Although the model is framed in terms of the prevalence of infection ... by taking the square roots of ˆ the diagonal elements of the covariance matrix Σn GLS The values of the weights involved in the GLS estimation depend on the values of the fitted model These values ... condition number of the matrix χ(θGLS , n)T W (θGLS )χ(θGLS , n) is 9.2×1019 Truncation of the data sets helped considerably with the GLS estimation process, THE ESTIMATION OF R(t) FROM DISEASE...

Ngày tải lên: 13/02/2014, 16:20