Temat: logistic model - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: A note on robust estimation in logistic regression model
Autorzy:: Bednarski, Tadeusz
Tematy:: logistic model
robust estimation; Pokaż więcej
Wydawca:: Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
Powiązania:: https://bibliotekanauki.pl/articles/729700.pdf Link otwiera się w nowym oknie
Opis:: Computationally attractive Fisher consistent robust estimation methods based on adaptive explanatory variables trimming are proposed for the logistic regression model. Results of a Monte Carlo experiment and a real data analysis show its good behavior for moderate sample sizes. The method is applicable when some distributional information about explanatory variables is available.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 2.

Tytuł:: Logistyczne modele pojedynczej populacji
Logistic population models for a single species
Autorzy:: Bucka, Karolina
Opis:: The work consists of two fundamental models of a single species population growth: the logistic model both continuous and discrete and logistic model with time delay and includes its solutions and basic properties.
Praca opiera się na dwóch podstawowych modelach pojedynczej populacji: modelu logistycznym w wersji dyskretnej i ciągłej oraz modelu logistycznym z opóźnieniem. W pierwszej części pracy zaprezentowano rozwiązanie ciągłego modelu logistycznego i jego analizę, sposób wyprowadzenia dyskretnego równania logistycznego oraz niektóre jego własności. Druga część została poświęcona równaniu logistycznemu z opóźnieniem. Przedstawiono w niej jego analizę oraz dowód na istnienie rozwiązania.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

Inne

na półce

Skocz do pozycji: 3.

Tytuł:: Identyfikacja stresorów i zarządzanie stresem w firmie
Identification of stressors and stress management in the company
Autorzy:: Zięba, Anna
Tematy:: stress management
stressors
two-parametric logistic model; Pokaż więcej
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Powiązania:: https://bibliotekanauki.pl/articles/424813.pdf Link otwiera się w nowym oknie
Opis:: This article presents how to use two-parametric logistic model to make a stressors analysis. This model can be used to determine the strength of influence of stressors on individual respondents. There is also a proposition how to use forecasting to assist the process of stress management. Stress management should be based on preventing the appearance of stressors. With the proposed methods, it is possible to compare the strength of stressors in each period, to look how the planned change will be received by employees in the future. In addition, using the cluster analysis allows to find the best way of stressors grouping.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 4.

Tytuł:: Production Line Modelling in Accordance with the Industry 4.0 Concept as an Element of Process Management in the Iron and Steel Industry
Autorzy:: Niekurzak, Mariusz
Kubińska-Jabcoń, Ewa
Tematy:: hot rolling
logistic model
mill
steel
strip
stock management; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/2023962.pdf Link otwiera się w nowym oknie
Opis:: Simulations are becoming one of the most important techniques supporting production preparation, even in those industrial sectors with atypical technological processes, such as in metallurgy, where there is a multiphase material flow. This is due to the fact that in the conditions of a market economy, enterprises have to solve more and more complex problems in a shorter time. On the basis of the existing production process and the knowledge of the flow characteristics in a given process, a model is built, which, when subjected to simulation tests, provides experimental results in the scope of the defined problem. The use of computer techniques also creates new possibilities for the rational use of the reserves inherent in each technological process. Taking into account the existing demand and the state of modern technology, the computer model can be a source of information for further analysis and decision-making processes supporting company management. At work a model of the logistic system was made on the example of a hot-rolled steel strip mill, on which simulation experiments were carried out to improve the effectiveness and efficiency of the analysis production line. The presented article aims to disseminate the idea of ??Industry 4.0 in Polish companies from the manufacturing industry sector, taking into account simulation techniques.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 5.

Tytuł:: Modelling of avascular tumour growth
Modelowanie wzrostu nowotworów nieunaczynionych
Autorzy:: Korecka, Julia
Opis:: Analysis and comparison of three basic mathematical models describing avascular tumour growth: logistic model, Greenspan model and Gompertz equation.
Analiza trzech podstawowych modeli opisujących wzrost nowotworów nieunaczynionych: modelu logistycznego, modelu Greenspana oraz równania Gompertza. Porównanie dynamiki przedstawionych modeli.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

Inne

na półce

Skocz do pozycji: 6.

Tytuł:: On population dynamics with campaign on contraception as control strategy
Autorzy:: Ekhosuehi, V. U.
Chete, F. O.
Tematy:: contraception
logistic model
Malthusian model
optimal control model
population
antykoncepcja
model logistyczny
model maltuzjański
model sterowania
populacja; Pokaż więcej
Wydawca:: Politechnika Rzeszowska im. Ignacego Łukasiewicza. Oficyna Wydawnicza
Powiązania:: https://bibliotekanauki.pl/articles/2052396.pdf Link otwiera się w nowym oknie
Opis:: This work considers a population divided into two groups according to the adoption of contraception. The campaign in favour of contraception is modelled as a bounded optimal control problem within the framework of the logistic and the Malthusian models of population dynamics. The control is the fraction of non-adopters successfully educated on contraception. The objective is to maximise the number of non-adopters successfully educated on contraception over time. The optimisation problem is solved using the Pontryagin's maximum principle and the parameters of the model are estimated using the method of least squares.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 7.

Tytuł:: Sigmoid growth curves, a new approach to study the dynamics of the epicotyl emergence of oak
Autorzy:: Jastrzębowski, Szymon
Ukalska, Joanna
Wydawca:: The Committee on Forestry Sciences and Wood Technology of the Polish Academy of Sciences and the Forest Research Institute in Sekocin Stary
Cytata wydawnicza:: Ukalska, Joanna & Jastrzębowski, Szymon. (2019). Sigmoid growth curves, a new approach to study the dynamics of the epicotyl emergence of oak. Folia Forestalia Polonica, Series A – Forestry, 2019, Vol. 61 (1), 30–41. 10.2478/ffp-2019-0003.
Opis:: Three of the most frequently used sigmoidal growth curves from the Richards family are the logistic model, Gompertz model and Richards model. They are used in the analysis of organismal growth over time in many disciplines/studies and were proposed in many parameterisations. Choosing the right parameterisation is not easy. The correct parameterisation of the model should take into account such parameters that are useful to describe the analysed growth phenomenon and are biologically relevant without additional calculations. In addition, each parameter of the model only affects one shape characteristic of each growth curve, which makes it possible to determine standard errors and confidence intervals using statistical software. Growth curves in germination dynamics studies should provide information on topics such as the length of the lag in onset of germination, the maximum germination rate and, when it occurs, the time at which 50% of seeds will germinate and the final germination proportion. In this article, we present three parameterisations of the logistic, Gompertz and Richards models and indicate two parameterisations for each model, corresponding to the abovementioned issues. Our proposition is parameterisation by taking into account the maximum absolute growth rate. Parameterisations indicated as useful for germination dynamics are characterised by the fact that each parameter has the same meaning in every model, so its estimates can be compared directly amongst the models. We also discussed the goodness-of-fit measures for nonlinear models and in particular measures of nonlinear behaviour of a model’s individual parameters as well as overall measures of nonlinearity. All described models were used to study the dynamics of the epicotyl emergence of pedunculate oak. After checking the close-to-linear behaviour of the studied model parameters and by taking into account the criteria of model selection (AICc of each growth curve and the residual variance [RV]), the best model describing the dynamics of epicotyl appearance of pedunculate oak was the Richards curve.
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

Artykuł

na półce

Skocz do pozycji: 8.

Tytuł:: Sigmoid growth curves, a new approach to study the dynamics of the epicotyl emergence of oak
Autorzy:: Ukalska, Joanna
Jastrzębowski, Szymon
Tematy:: cumulative germination
Gompertz model
growth curves
logistic model
nonlinear regression
pedunculate oak
Richards model; Pokaż więcej
Wydawca:: Instytut Badawczy Leśnictwa
Powiązania:: https://bibliotekanauki.pl/articles/2044179.pdf Link otwiera się w nowym oknie
Opis:: Three of the most frequently used sigmoidal growth curves from the Richards family are the logistic model, Gompertz model and Richards model. They are used in the analysis of organismal growth over time in many disciplines/studies and were proposed in many parameterisations. Choosing the right parameterisation is not easy. The correct parameterisation of the model should take into account such parameters that are useful to describe the analysed growth phenomenon and are biologically relevant without additional calculations. In addition, each parameter of the model only affects one shape characteristic of each growth curve, which makes it possible to determine standard errors and confidence intervals using statistical software. Growth curves in germination dynamics studies should provide information on topics such as the length of the lag in onset of germination, the maximum germination rate and, when it occurs, the time at which 50% of seeds will germinate and the final germination proportion. In this article, we present three parameterisations of the logistic, Gompertz and Richards models and indicate two parameterisations for each model, corresponding to the abovementioned issues. Our proposition is parameterisation by taking into account the maximum absolute growth rate. Parameterisations indicated as useful for germination dynamics are characterised by the fact that each parameter has the same meaning in every model, so its estimates can be compared directly amongst the models. We also discussed the goodness-of-fit measures for nonlinear models and in particular measures of nonlinear behaviour of a model’s individual parameters as well as overall measures of nonlinearity. All described models were used to study the dynamics of the epicotyl emergence of pedunculate oak. After checking the close-to-linear behaviour of the studied model parameters and by taking into account the criteria of model selection (AICc of each growth curve and the residual variance [RV]), the best model describing the dynamics of epicotyl appearance of pedunculate oak was the Richards curve.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 9.

Tytuł:: How machine learning algorithms are used in meteorological data classification: a comparative approach between DT, LMT, M5-MT, gradient boosting and GWLM-NARX models
Autorzy:: Fayaz, Sheikh Amir
Zaman, Majid
Butt, Muheet Ahmed
Kaul, Sameer
Tematy:: meteorological data
M5 model tree
linear model functions
gradient boosting
logistic model tree; Pokaż więcej
Wydawca:: Polskie Towarzystwo Promocji Wiedzy
Powiązania:: https://bibliotekanauki.pl/articles/38433812.pdf Link otwiera się w nowym oknie
Opis:: Rainfall prediction is one of the most challenging task faced by researchers over the years. Many machine learning and AI based algorithms have been implemented on different datasets for better prediction purposes, but there is not a single solution which perfectly predicts the rainfall. Accurate prediction still remains a question to researchers. We offer a machine learning-based comparison evaluation of rainfall models for Kashmir province. Both local geographic features and the time horizon has influence on weather forecasting. Decision trees, Logistic Model Trees (LMT), and M5 model trees are examples of predictive models based on algorithms. GWLM-NARX, Gradient Boosting, and other techniques were investigated. Weather predictors measured from three major meteorological stations in the Kashmir area of the UT of J&K, India, were utilized in the models. We compared the proposed models based on their accuracy, kappa, interpretability, and other statistics, as well as the significance of the predictors utilized. On the original dataset, the DT model delivers an accuracy of 80.12 percent, followed by the LMT and Gradient boosting models, which produce accuracy of 87.23 percent and 87.51 percent, respectively. Furthermore, when continuous data was used in the M5-MT and GWLM-NARX models, the NARX model performed better, with mean squared error (MSE) and regression value (R) predictions of 3.12 percent and 0.9899 percent in training, 0.144 percent and 0.9936 percent in validation, and 0.311 percent and 0.9988 percent in testing.
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Skocz do pozycji: 10.

Tytuł:: Analysis of selected grasspea mutants by generalized linear model
Analiza wybranych mutantów lędźwianu siewnego przy zastosowaniu uogólnionego modelu liniowego
Autorzy:: Bocianowski, J.
Bakinowska, E.
Rybinski, W.
Tematy:: grass pea
Lathyrus sativus
mutant
fatty acid
seed
generalized linear model
logistic model; Pokaż więcej
Wydawca:: Uniwersytet Przyrodniczy w Lublinie. Katedra Zastosowań Matematyki i Informatyki
Powiązania:: https://bibliotekanauki.pl/articles/9591.pdf Link otwiera się w nowym oknie
Dostawca treści:: Biblioteka Nauki

Artykuł

na półce

Informacja

Wyszukujesz frazę "logistic model" wg kryterium: Temat