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A Bayesian Approach to Estimating Seemingly Unrelated Regression for Tree Biomass Model Systems
Bayesian approaches seemingly unrelated regression Korean larch Markov chain Monte Carlo Gibbs sampler
2024/1/19
Accurate estimation of tree biomass is required for accounting for and monitoring forest carbon stocking. Allometric biomass equations constructed by classical statistical methods are widely used to p...
Fractional Vegetation Cover Estimation Algorithm for FY-3B Reflectance Data Based on Random Forest Regression Method
fractional vegetation cover FY-3B reflectance data random forest regression method
2023/12/8
As an important land surface vegetation parameter, fractional vegetation cover (FVC) has been widely used in many Earth system ecological and climate models. In particular, high-quality and reliable F...
Casein Supplementation Does Not Affect the Estimates of True Total Tract Digestibility of Phosphorus in Soybean Meal for Growing Pigs Determined by the Regression Method
Casein Phosphorus Pig Soybean Meal True Total Tract Digestibility
2016/11/10
Forty-eight barrows with an average initial body weight of 25.5±0.3 kg were assigned to 6 dietary treatments arranged in a 3×2 factorial of 3 graded levels of P at 1.42, 2.07, or 2.72 g/kg, and 2 leve...
Apparent ileal amino acids digestibility of diets with graded levels of corn DDGS and determination of DDGS amino acids digestibility by difference and regression methods in broilers
chickens digesta crude protein
2015/7/3
This study was conducted to determine apparent ileal amino acids digestibility (AIAAD) of diets with different levels of corn distiller’s dried grains with solubles (DDGS) and to determine AIAAD of co...
Genetic and environmental parameters estimation for milk traits in Slovenian dairy sheep using random regression model
dairy ewes test-day records orthogonal Legendre polynomials heritability additive genetic correlations
2015/6/24
(Co)variance components for daily milk yield, fat, and protein content in Slovenian dairy sheep were estimated with random regression model. Test-day records were collected by the ICAR A4 method. Anal...
Genetic parameters for somatic cell score in the first three lactations of Czech Holstein and Fleckvieh breeds using a random regression model
test-day somatic cell score random regression model genetic parameters Holstein cattle Czech Fleckvieh
2015/6/9
A multiple-lactation random regression model was applied to test-day somatic cell score (SCS) records from the first three lactations of Czech Holstein and Fleckvieh cows. For Holstein, the data inclu...
Genetic evaluation of daily gains of dual-purpose bulls using a random regression model
daily gains curve random regression heritability correlation bulls
2015/6/5
Daily gains of 8 243 dual-purpose bulls from 100 to 400 days of age during the years 1971 to 2007 were analyzed by random regression models. Orthogonal Legendre polynomials (LP) of degree 4 were appli...
The Effect of Inclusion Level of Soybean Oil and Palm Oil on Their Digestible and Metabolizable Energy Content Determined with the Difference and Regression Method When Fed to Growing Pigs
Digestibility Energy Content Inclusion Level Palm Oil Pigs Soybean Oil
2016/5/19
This experiment was conducted to determine the effects of inclusion level of soybean oil (SO) and palm oil (PO) on their digestible and metabolism energy (DE and ME) contents when fed to growing pigs ...
Deforestation modelling using logistic regression and GIS
manmade areas physiographic factors
2015/5/18
A methodology has been used by means of which modellers and planners can quantify the certainty in
predicting the location of deforestation. Geographic information system and logistic regression ana...
Detrending ability of several regression equations in tree-ring research: a case study based on tree-ring data of Norway spruce (Picea abies [L.])
radial increment growth functions empirical fitting tree-ring indices dendroclimatology
2015/3/27
The aim of this study was to investigate tree-ring width variability and to distinguish groups of trees with similar growth trends in order to study tree growth responses to various stand and site con...
Mapping the topsoil pH and humus quality of forest soils in the North Bohemian Jizerské hory Mts. region with ordinary, universal, and regression kriging: cross-validation comparison
Black Triangle digital soil mapping geostatistics map accuracy
2015/3/9
North Bohemia belongs to one of the most heavily industrialized and polluted regions in Europe. The enormous acid deposition which culminated in the 1970s has largely contributed to the accelerated ac...
Logistic regression approach to the prediction of tree defoliation caused by sawflies (Hymenoptera: Symphyta)
Cephalcia lariciphila soil samples Tomostethus nigritus yellow sticky boards tree defoliation logistic regression
2015/2/2
A relationship between the abundance of phytophagous insects assessed from soil samples (in the case of Cephalcia lariciphila) or yellow sticky boards (in the case of T. nigritus) and percentage of de...
Mapping soils using the fuzzy approach and regression-kriging case study from the Považsky Inovec Mountains, Slovakia
fuzzy k-means regression-kriging digital landscape data grid interpretation spatial distribution soil classification
2015/1/30
The paper introduces a method of digital mapping of spatial distribution of soil typological units. It implements fuzzy k-means to classify the soil profile data (study area from the Považsky Ino...
Identifying the dependency pattern of daily rainfall of Dhaka station in Bangladesh using Markov chain and logistic regression model
Characteristics of Rainfall in Bangladesh Stochastic Models
2013/2/28
Bangladesh is a subtropical monsoon climate characterized by wide seasonal variations in rainfall, moderately warm temperatures, and high humidity. Rainfall is the main source of irrigation water ever...
Credit supply;farmers group;productivity;revenue;regression analysis
Credit supply；farmers group；productivity；revenue；regression analysis
2011/1/12
Lending to small-scale farmers has been an important policy measure to stimulate agricultural development in Nigeria. In Adamawa state, small-scale farmers constitute the larger percentage of farmers ...