TY - JOUR
TI - Smooth nonparametric maximum likelihood estimation for population pharmacokinetics, with application to quinidine
AU - Davidian, Marie
AU - Gallant, A. Ronald
T2 - Journal of Pharmacokinetics and Biopharmaceutics
AB - The seminonparametric (SNP) method, popular in the econometrics literature, is proposed for use in population pharmacokinetic analysis. For data that can be described by the nonlinear mixed effects model, the method produces smooth nonparametric estimates of the entire random effects density and simultaneous estimates of fixed effects by maximum likelihood. A graphical model-building strategy based on the SNP method is described. The methods are illustrated by a population analysis of plasma levels in 136 patients undergoing oral quinidine therapy.
DA - 1992/10//
PY - 1992/10//
DO - 10.1007/bf01061470
VL - 20
IS - 5
SP - 529-556
J2 - Journal of Pharmacokinetics and Biopharmaceutics
LA - en
OP -
SN - 0090-466X
UR - http://dx.doi.org/10.1007/bf01061470
DB - Crossref
KW - POPULATION PHARMACOKINETICS
KW - NONLINEAR MIXED EFFECTS MODELS
KW - DENSITY ESTIMATION
KW - NONPARAMETRIC ESTIMATION
KW - MAXIMUM LIKELIHOOD
KW - QUINIDINE
ER -
TY - JOUR
TI - ON UNWINDING YARN FROM A CYLINDRICAL PACKAGE
AU - FRASER, WB
AU - GHOSH, TK
AU - BATRA, SK
T2 - PROCEEDINGS OF THE ROYAL SOCIETY-MATHEMATICAL AND PHYSICAL SCIENCES
AB - The over-end unwinding of yarn from a stationary helically wound cylindrical package is considered. The motion of the yarn between the unwind point (where it first starts to slip across the package surface before flying into the unwinding balloon) and the guide eye located on the package axis is analysed. The motion is periodic as the unwind point moves backwards and forwards along the length of the package surface. In 1958 D. G. Padfield argued that, provided the helix angle is small, the time derivative terms in the equations of motion can be neglected and the problem can be reduced to a stationary (relative to rotating axes) balloon problem subject to a modified boundary condition at the unwind point. The problem of yarn slipping across the package surface has also been investigated by D. G. Padfield and by H. V. Booth. In the present paper a regular perturbation expansion is used to provide a theoretical framework for Padfield’s ideas and to remove the time dependence from the zero order equations of motion. To this order of approximation the time dependence appears in the ‘moving’ boundary condition at the unwind point. A new derivation of this boundary condition is given and a set of continuity conditions between the yarn slipping on the package and the yarn in the balloon is used to splice the two solutions together so that the package can be unwound through a complete period of the unwinding cycle.
DA - 1992/3/9/
PY - 1992/3/9/
DO - 10.1098/rspa.1992.0030
VL - 436
IS - 1898
SP - 479-498
SN - 0962-8444
ER -
TY - JOUR
TI - ANALYSIS OF FABRIC DEFORMATION IN A ROLL-MAKING OPERATION
AU - ghosh,
AU - Peng, H.
AU - Hamouda, H.
AU - Shin, D. H.
T2 - TEXTILE RESEARCH JOURNAL
AB - The relationship between various parameters of roll making, fabric properties, and the resultant stresses developed within a fabric roll has been discussed in Parts I and II of this series. A discrete continuum model was used to describe fabric deformation during roll making. In the present model, the fabric is assumed to be in plane stress state and the effect in the filling direction is entirely neglected. The fabric is considered as anisotropic in warp and thickness directions. The effect of fabric viscoelasticity in the warp direction is also considered. A simple two-term Maxwell viscoelastic model is used to describe the fabric viscoelastic behavior. The stress relaxation process within fabric rolls during and after roll formation is discussed through numerical examples.
DA - 1992/11//
PY - 1992/11//
DO - 10.1177/004051759206201107
VL - 62
IS - 11
SP - 669-676
SN - 1746-7748
ER -
TY - JOUR
TI - QUALITY, PROCESS, AND COST CONTROLS - A RANDOM-WALK IN TEXTILE PROFITABILITY
AU - SUH, MW
T2 - JOURNAL OF THE TEXTILE INSTITUTE
AB - The impact and potential of quality, process, and cost controls on textile-industry profitability are analyzed relative to the random-walk processes found in the profit margins of the U.S. textile industry during the period 1961–1988 and of six selected textile companies during the period 1974–1988. In addition, the quality and process measurements taken from multistage textile processing are modeled as a random-walk process in order to demonstrate that a large hidden potential exists for significant profit improvements in textile operations. Several changes are recommended, aimed at improving the over-all profitability through quality, process, and cost controls.
DA - 1992///
PY - 1992///
DO - 10.1080/00405009208631208
VL - 83
IS - 3
SP - 348-360
SN - 0040-5000
ER -
TY - JOUR
TI - Correcting the bias of Wright's estimates of the number of genes affecting a quantitative character: A further improved method
AU - Zeng, Z. B.
T2 - Genetics
DA - 1992///
PY - 1992///
VL - 131
IS - 4
SP - 987
ER -
TY - JOUR
TI - Estimating linkage disequilibrium from conditional data
AU - Maiste, P. J.
AU - Weir, B. S.
T2 - American Journal of Human Genetics
DA - 1992///
PY - 1992///
VL - 50
IS - 5
SP - 1139
ER -
TY - JOUR
TI - Dynamical behavior for population genetics models of differential and difference equations with nonmonotone fitnesses
AU - Selgrade, J. F.
AU - Namkoong, G.
T2 - Journal of Mathematical Biology
DA - 1992///
PY - 1992///
VL - 30
IS - 8
SP - 815
ER -
TY - JOUR
TI - NONLINEAR-REGRESSION WITH VARIANCE-COMPONENTS - MODELING EFFECTS OF OZONE ON CROP YIELD
AU - GUMPERTZ, ML
AU - RAWLINGS, JO
T2 - CROP SCIENCE
AB - Split-plot experimental designs are common in studies of the effects of air pollutants on crop yields. Nonlinear functions such as the Weibull function have been used extensively to model the effect of ozone (O3) exposure on yield of several crop species. The usual nonlinear regression model, which assumes independent errors, is not appropriate for data from nested or split-plot designs in which there is more than one source of random variation. The nonlinear model with variance components combines a nonlinear model for the mean with additive random effects to describe the covariance structure. We propose an estimated generalized least squares (EGLS) method of estimating the parameters for this model. This method is demonstrated and compared with results from ordinary nonlinear least squares for data from the National Crop Loss Assessment Network (NCLAN) program regarding the effects of O3 on soybean [Glycine max (L.) Merr.]. In this example, all methods give similar point estimates of the parameters of the Weibull function. The advantage of estimated generalized least squares is that it produces proper estimates of the variances of the parameters, estimated yields, and relative yield losses, which take the covariance structure into account. Model selection, hypothesis testing, and construction of confidence intervals are also demonstrated. A computer program that fits the nonlinear model with variance components by the EGLS method is available from the authors.
DA - 1992///
PY - 1992///
DO - 10.2135/cropsci1992.0011183X003200010045x
VL - 32
IS - 1
SP - 219-224
SN - 0011-183X
ER -
TY - JOUR
TI - CLIMATE SPECTRA AND DETECTING CLIMATE CHANGE
AU - BLOOMFIELD, P
AU - NYCHKA, D
T2 - CLIMATIC CHANGE
DA - 1992/7//
PY - 1992/7//
DO - 10.1007/BF00139727
VL - 21
IS - 3
SP - 275-287
SN - 0165-0009
ER -
TY - JOUR
TI - A statistical test for detecting geographic subdivision
AU - Hudson, R. R.
AU - Boos, D. D.
AU - Kaplan, N. L.
T2 - Molecular Biology and Evolution
DA - 1992///
PY - 1992///
VL - 9
IS - 1
SP - 138-151
ER -
TY - JOUR
TI - Comparing evolvability and variability of quantitative traits
AU - Houle, D.
T2 - Genetics
DA - 1992///
PY - 1992///
VL - 130
IS - 1
SP - 195-204
ER -