Search results for "nonlinear regression"

showing 10 items of 21 documents

Species–area relationships in continuous vegetation: Evidence from Palaearctic grasslands

2019

Aim Species-area relationships (SARs) are fundamental scaling laws in ecology although their shape is still disputed. At larger areas, power laws best represent SARs. Yet, it remains unclear whether SARs follow other shapes at finer spatial grains in continuous vegetation. We asked which function describes SARs best at small grains and explored how sampling methodology or the environment influence SAR shape. Location Palaearctic grasslands and other non-forested habitats. Taxa Vascular plants, bryophytes and lichens. Methods We used the GrassPlot database, containing standardized vegetation-plot data from vascular plants, bryophytes and lichens spanning a wide range of grassland types throu…

curvesshapesspecies– area relationship (SAR)Michaelis–Menten functionBiomeGrasslandVegetation typelogarithmic functionTaxonomic rankLichenNested‐plot Samplinggeography.geographical_feature_categorypower lawEcologyVDP::Landbruks- og Fiskerifag: 900biologyEcologySettore BIO/02 - Botanica SistematicaPalaearctic grasslandspecies-area relationship (SAR)Grasslandddc:nonlinear regressionscale dependenceMichaelis–Menten Functionlogarithmic function; Michaelis–Menten function; minimal area; nested-plot sampling; nonlinear regression; Palaearctic grassland; plant biodiversity; power law; scaling law; species–area relationship (SAR)environmentnested‐plot sampling570Evolutionscaling lawSpecies-area relationshipminimal areadiversityspecies–area relationship (SAR)Behavior and Systematicsspecies- area relationship (SAR)ddc:570577: Ökologienested-plot samplingEcology Evolution Behavior and Systematics580geographymodelfungiBiology and Life Sciences500Species diversityPlant communitySpecies–area Relationship (SAR)Earth and Environmental SciencesMichaelis-Menten functionplant biodiversitySpecies richnessrichness
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Pedotransfer functions for estimating soil water retention curve of Sicilian soils

2019

Pedotransfer functions (PTFs) make use of routinely surveyed soil data to estimate soil properties but their application to soils different from those used for their development can yield inaccurate estimates. This investigation aimed at evaluating the water retention prediction accuracy of eight existing PTFs using a database of 217 Sicilian soils exploring 11 USDA textural classes. PTFs performance was assessed by root mean square differences (RMSD) and average differences (AD) between estimated and measured data. Extended Nonlinear Regression (ENR) technique was adopted to recalibrate or develop four new PTFs and Wind’s evaporation method was applied to validate the effectiveness of the …

0106 biological sciencesYield (engineering)EvaporationSoil ScienceSoil scienceParametric pedotransfer functionwater retention model04 agricultural and veterinary sciences01 natural sciencesPedotransfer functionpedotransfer functions recalibrationextended nonlinear regression techniqueSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSoil propertiesAgronomy and Crop Scienceevaporation method010606 plant biology & botany
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Integer Weighted Regression Tsetlin Machines

2020

The Regression Tsetlin Machine (RTM) addresses the lack of interpretability impeding state-of-the-art nonlinear regression models. It does this by using conjunctive clauses in propositional logic to capture the underlying non-linear frequent patterns in the data. These, in turn, are combined into a continuous output through summation, akin to a linear regression function, however, with non-linear components and binary weights. However, the resolution of the RTM output is proportional to the number of clauses employed. This means that computation cost increases with resolution. To address this problem, we here introduce integer weighted RTM clauses. Our integer weighted clause is a compact r…

Computer scienceComputationBinary numberResolution (logic)Representation (mathematics)Nonlinear regressionUnit-weighted regressionAlgorithmComputer Science::Formal Languages and Automata TheoryInteger (computer science)Interpretability
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Information content of data and variables and types of weighting in least-squares regression methods

1990

Abstract Algorithms are given for evaluating the relative amount of useful information related to a particular parameter which is carried by individual data points and intervals of the variables. The algorithms provide an efficient means of using the information contained in a set of data. Applications to the optimization of weighting in regression methods are described. Several informational and combined informational-statistical types of weighting are studied as a means of improving the accuracy and precision of the parameters obtained by non-linear regression.

Accuracy and precisionChemistryRegression analysisStatistical weightBiochemistryRegressionAnalytical ChemistryWeightingSet (abstract data type)Content (measure theory)StatisticsEnvironmental ChemistryNonlinear regressionSpectroscopyAnalytica Chimica Acta
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Plasma clearance of human low-density lipoprotein in human apolipoprotein B transgenic mice is related to particle diameter.

2004

To test for intrinsic differences in metabolic properties of low-density lipoprotein (LDL) as a function of particle size, we examined the kinetic behavior of 6 human LDL fractions ranging in size from 251 to 265 A injected intravenously into human apolipoprotein (apo) B transgenic mice. A multicompartmental model was formulated and fitted to the data by standard nonlinear regression using the Simulation, Analysis and Modeling (SAAM II) program. Smaller sized LDL particles (251 to 257 A) demonstrated a significantly slower fractional catabolic rate (FCR) (0.050 +/- 0.045 h(-1)) compared with particles of larger size (262 to 265 A) (0.134 +/- -0.015 h(-1), P.03), and there was a significant …

Genetically modified mouseAdultMalemedicine.medical_specialtySimvastatinApolipoprotein BMetabolic Clearance RateEndocrinology Diabetes and MetabolismPlasma clearance low-density lipoprotein apolipoprotein B trangenic miceMice Transgenicchemistry.chemical_compoundMiceEndocrinologyInternal medicineBlood plasmamedicineAnimalsHumansParticle SizeApolipoproteins BPravastatinbiologyCatabolismMiddle AgedLipoproteins LDLEndocrinologychemistryLow-density lipoproteinModels Animalbiology.proteinRegression Analysislipids (amino acids peptides and proteins)Particle sizeNonlinear regressionLipoproteinMetabolism: clinical and experimental
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Multivariate versus univariate calibration for nonlinear chemiluminescence data

2001

Abstract Multivariate calibration is tested as an alternative to model chromium(III) concentration versus chemiluminescence registers obtained from luminol-hydrogen peroxide reaction. The multivariate calibration approaches included have been: conventional linear methods (principal component regression (PCR) and partial least squares (PLS)), nonlinear methods (nonlinear variants and variants of locally weighted regression) and linear methods combined with variable selection performed in the original or in the transformed data (stepwise multiple linear regression procedure). Both the direct and inverse univariate approaches have been also tested. The use of a double logarithmic transformatio…

General linear modelMultivariate statisticsChemistryLocal regressionBiochemistryAnalytical ChemistryBayesian multivariate linear regressionStatisticsLinear regressionPartial least squares regressionEnvironmental ChemistryPrincipal component regressionBiological systemNonlinear regressionSpectroscopyAnalytica Chimica Acta
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Thermal inactivation kinetics of Bacillus stearothermophilus spores using a linear temperature program.

1999

A systematic study of the inactivation kinetics of Bacillus stearothermophilus spores was carried out in nonisothermic heating conditions using a linear temperature increase program and analyzing the experimental data by means of a one-step nonlinear regression. The D and z values estimated are close to those obtained in isothermic conditions and estimated by using a two-step model, first D values are calculated, and then in the second step a z value is deduced (D(121 degrees C) = 3.08 and 4.38 min, respectively, and z = 7 and 7.9 degrees C, respectively). No convergence problems were observed when using the one-step nonlinear regression proposed. The results indicated that the methodology …

Spores BacterialHot TemperaturebiologyChemistryfungiKineticsColony Count MicrobialTemperatureBacillusThermodynamicsbiology.organism_classificationKinetic energyMicrobiologyEndosporeMicrobiologySporeDisinfectionGeobacillus stearothermophilusThermalZ-valueNonlinear regressionFood ScienceJournal of food protection
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Note. Kinetic parameters of Bacillus stearothermophilus spores under isothermal and non-isothermal heating conditions Nota. Parámetros cinéticos del …

1998

Thermobacteriological studies using Bacillus stearotherrnophilus spores were carried out by heating the spores under isothermal and non-isothermal conditions followed by an isothermal period. Ex perimental data obtained after isothermal heating were analyzed using a two-step linear regression procedure and a one-step nonlinear regression method. Results obtained using both analytical tech niques were close, but the 90% interval of confidence for predictions was lower when the one-step nonlinear regression was used. These results indicated the convenience of using the one-step nonlin ear regression method to obtain thermal kinetic parameters for bacterial spores. Also, the parameters obtain…

0106 biological sciencesbiologyChemistryGeneral Chemical Engineeringtechnology industry and agricultureThermodynamicsBacillus04 agricultural and veterinary sciencesKinetic energybiology.organism_classification040401 food science01 natural sciencesIndustrial and Manufacturing EngineeringIsothermal processSpore0404 agricultural biotechnology010608 biotechnologyLinear regressionNonlinear regressionFood ScienceFood Science and Technology International
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Evaluating the predictive power of sun-induced chlorophyll fluorescence to estimate net photosynthesis of vegetation canopies: A SCOPE modeling study

2016

Abstract Progress in imaging spectroscopy technology and data processing can enable derivation of the complete sun-induced chlorophyll fluorescence (SIF) emission spectrum. This opens up opportunities to fully exploit the use of the SIF spectrum as an indicator of photosynthetic activity. Simulations performed with the coupled fluorescence–photosynthesis model SCOPE were used to determine how strongly canopy-leaving SIF can be related to net photosynthesis of the canopy (NPC) for various canopy configurations. Regression analysis between SIF retrievals and NPC values produced the following general findings: (1) individual SIF bands that were most sensitive to NPC were located around the fir…

Canopy010504 meteorology & atmospheric sciencesBand analysi0211 other engineering and technologiesSoil Science02 engineering and technology01 natural scienceschemistry.chemical_compoundPhotosynthesiSCOPEEmission spectrumComputers in Earth SciencesLeaf area indexMETIS-315823Chlorophyll fluorescence021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingCanopyGeology22/4 OA procedurePhotosynthetic capacityRegressionFLEXImaging spectroscopychemistrySun-induced fluorescenceITC-ISI-JOURNAL-ARTICLEChlorophyllEnvironmental scienceNonlinear regressionRemote Sensing of Environment
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Oxygen Consuming Regions in EMT60/Ro Multicellular Tumour Spheroids Determined by Nonlinear Regression Analysis of Experimental PO2 Profiles

1987

Malignant cells can be studied in vitro, in a tumour-like microenvironment, by growing multicellular tumour spheroids in culture (Sutherland, McCredie and Inch, 1971). Franko and Sutherland (1979) utilized diffusion theory to explain the viable rim thicknesses of spheroids measured histologically. Without PO2 profiles, however, an unequivocal interpretation of their results was not possible. Systematic studies of the PO2 profiles in spheroids have since been made with oxygen microelectrodes by several groups (Carlsson et al., 1979; Kaufman et al., 1981; Mueller-Klieser and Sutherland, 1982a,b). Based on these measurements, new analyses utilizing diffusion theory are being developed to chara…

Steady stateMaterials scienceDiffusion equationStereochemistryMathematical analysisSpheroidOxygen transportRadiusDiffusion (business)Fick's laws of diffusionNonlinear regression
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