Temat: regression structure

Skocz do pozycji: 1.

Tytuł:: SOME REMARKS ON GENERALIZED REGRESSION METHODS
Autorzy:: Fałda, Beata
Zając, Józef
Tematy:: circular regression
Hilbert space
regression function
regression structure; Pokaż więcej
Wydawca:: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Powiązania:: https://bibliotekanauki.pl/articles/452846.pdf Link otwiera się w nowym oknie
Opis:: As a result of studying certain phenomena gained on the plane, the unit circle and on the earth sphere we present here some introductory notations and remarks, concerning the problems in question.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Probabilistic regression structures
Probabilistyczne struktury regresji
Autorzy:: Szumera, Agnieszka
Tematy:: nonlinear regression, polynomial regression, probability space, regression functions, regression structure
regresja nieliniowa, regresja wielomianowa, przestrzeń probabilistyczna, funkcje regresji, struktura regresji; Pokaż więcej
Wydawca:: Łódzkie Towarzystwo Naukowe
Powiązania:: https://bibliotekanauki.pl/articles/699878.pdf Link otwiera się w nowym oknie
Opis:: https://doi.org/10.26485/0459-6854/2018/68.3/2 Nowe podejście uogólniające klasyczną koncepcję regresji jest szeroko prezentowane w [5] i [6] na gruncie przestrzeni Hilberta. W niniejszym artykule wyniki tej pracy zostały przeniesione na przestrzeń probabilistyczną, gdzie uogólnione zagadnienie regresji ma postać rozwiązania problemu ekstremalnego, zdefiniowanego na przestrzeni probabilistycznej.
https://doi.org/10.26485/0459-6854/2018/68.3/2 A new approach generalizing the classical regression idea has been widely presented in [5] and [6] in the environment of an arbitrary Hilbert space. The problem of transforming this idea to a probability space is considered in the present paper.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Estimation of linear parametric functions in multiresponse models
Autorzy:: Walkowiak, Ryszard
Tematy:: Linear regression
Characterization and structure theory; Pokaż więcej
Wydawca:: Polskie Towarzystwo Matematyczne
Powiązania:: https://bibliotekanauki.pl/articles/747810.pdf Link otwiera się w nowym oknie
Opis:: .
Consider an incomplete multiresponse experiment with a classification of the observations into u classes. The class Si contains ti treatments with ni observations. Thus, the experiment can be described by the set {Y1,Y2,...,Yu}, where Yi are ni×ti random matrices of observations from the class Si. For the expectation of each Yi a linear model with main and nuisance parameters is proposed. The problem of (linear) estimation of the main parameters is considered using results of R. Zmyślony [in Mathematical statistics and probability theory (Wisła, 1978), 365–373, Lecture Notes in Statist., 2, Springer, New York, 1980; MR0577292] and J. K. Baksalary [Math. Operationsforsch. Statist. Ser. Statist. 15 (1984), no. 1, 3–35; MR0729609].
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Ownership Structure and Firm Performance. A Panel Regression Study from Poland
Autorzy:: Gryko, Andrzej
Cierocki, Jakub
Celer, Konrad
Tematy:: ownership structure
ownership concentration
dual-class shares
shareholder heterogeneity
panel regression; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Powiązania:: https://bibliotekanauki.pl/articles/55789960.pdf Link otwiera się w nowym oknie
Opis:: This paper explores the relationship between ownership structure and firm performance, using the framework of agency theory. Given a sample of 126 Polish non-financial firms listed on the Warsaw Stock Exchange between 2016-2021, we applied fixed and random effects panel regressions with robust standard errors, tested for specification, endogeneity, cross-sectional heteroskedasticity, and serial autocorrelation. Our models identify several significant associations of adopted ownership structures with firm performance measured by accounting and market-based measures. We find that ownership concentration by the largest shareholder is negatively related to enterprise market-measured performance. Additionally, our results indicate the significance of shareholder heterogeneity.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: A Novel Correlation for Predicting the Density of Tetrazole–N-oxide Salts as Green Energetic Materials through Their Molecular Structure
Autorzy:: Zohari, N.
Bajestani, I. R.
Tematy:: tetrazole-N-oxide energetic compounds
density
correlation
multiple linear regression method
molecular structure; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Instytut Przemysłu Organicznego
Powiązania:: https://bibliotekanauki.pl/articles/358082.pdf Link otwiera się w nowym oknie
Opis:: In this study, a new and reliable model is derived for predicting the density of tetrazole N-oxide salts using molecular structure descriptors through multiple linear regression methods (MLR). The proposed model is based on the elemental, functional group and type of molecule descriptors. The coefficient of determination (R2) of the model was 0.9321 for 36 energetic tetrazole N-oxides with different molecular structures as an exploratoryset. The predictive ability of this model has been checked using a cross validation method (Q2 LOO = 0.9325 and Q2 LMO = 0.9324). The new correlation had a root mean square deviation (RMSD) of 0.033 g·cm−3 and an average absolute deviation (AAD) of 0.025 g·cm−3. This correlation also gave good predicted results for a further 10 energetic tetrazole N-oxides as a test set. The new reliable model can also be appliedfor designing novel energetic tetrazole N-oxides.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Determinants of the capital structure of TSL sector enterprises
Determinanty struktury kapitału przedsiębiorstw branży TSL (Transport, Spedycja, Logistyka)
Autorzy:: Jędrzejczak-Gas, J.
Tematy:: capital structure
determinants of the capital structure
Correlation analysis
regression analysis
struktura kapitału
determinanty struktury kapitału
analiza korelacji
analiza regresji; Pokaż więcej
Wydawca:: Uniwersytet Zielonogórski. Wydział Ekonomii i Zarządzania
Powiązania:: https://bibliotekanauki.pl/articles/296387.pdf Link otwiera się w nowym oknie
Opis:: The capital structure has been of interest for researchers in the field of financial theory for over 60 years. However, literature surveys show that relatively few studies on the structure of capital and the factors shaping it can be applied to the TSL industry. The TSL (Transport, Spedition, Logistics) sector belongs to industries with a high development potential, both in the world and Poland. In order to meet the need for the diagnosis of the TSL industry in Poland, the research was undertaken to identify and examine the strength and direction of the impact of selected factors on the capital structure of enterprises in the TFL sector in Poland. The article consists of two parts. The first part explains the issues related to defining the concept of capital structure and includes identification of capital structure determinants based on the literature. The second part shows research methods, describes the sample, defines variables and presents results of the research. The enterprises listed on the NewConnect market were the subject of the research. It was to achieve the set goal that the correlation analysis and the linear regression method were used. Both correlation analysis and regression analysis have not confirmed the significance of all seven capital structure determinants. The correlation analysis has confirmed the significance of four determinants: asset structure, profitability, company size and financial liquidity. The regression analysis has also confirmed the statistical significance of the four determinants; these are: the structure of assets, size of the company, financial liquidity and the effective tax rate. The analysis of correlation shows that the level of indebtedness is positively correlated with the size of the enterprise and profitability, while negatively, with the structure of assets and financial liquidity. In turn, the regression analysis shows that the level of indebtedness is positively correlated only with one variable: the size of the enterprise, while negatively with the three variables: the structure of assets, financial liquidity and the effective tax rate.
Struktura kapitału jest przedmiotem zainteresowania badaczy z zakresu teorii finansów od ponad 60 lat. Studia literatury wskazują jednak, że stosunkowo niewiele badań dotyczących struktury kapitału i kształtujących ją czynników dotyczy przedsiębiorstw branży TSL. Branża TSL (Transport, Spedycja, Logistyka) należy do branż o wysokim potencjale rozwoju, zarówno w skali świata, jak i Polski. Wychodząc naprzeciw potrzebie diagnozy branży TSL w Polsce podjęto badania, których celem było zidentyfikowanie oraz zbadanie siły i kierunku wpływu wybranych czynników na strukturę kapitału przedsiębiorstw branży TSL w Polsce. Artykuł składa się z dwóch części. W pierwszej części, na podstawie literatury przedmiotu wyjaśniono zagadnienia związane z definiowaniem pojęcia struktura kapitału oraz dokonano identyfikacji determinant struktury kapitału. W drugiej części omówiono metody badawcze, scharakteryzowano próbę, określono zmienne oraz przedstawiono wyniki badań. Przedmiotem badań były przedsiębiorstwa notowane na rynku NewConnect. Do realizacji postawionego celu wykorzystano analizę korelacji oraz analizę regresji liniowej. Zarówno analiza korelacji, jak i analiza regresji nie potwierdziły istotności wszystkich siedmiu przyjętych w badaniu determinant struktury kapitału. Analiza korelacji potwierdziła istotność czerech determinant: struktury aktywów, rentowności, wielkości firmy, płynności finansowej. Analiza regresji potwierdziła również statystyczną istotność czterech determinant, przy czy są to: struktura aktywów, wielkość firmy, płynność finansowa oraz efektywna stopa podatkowa. Z analizy korelacji wynika bowiem, że z poziomem zadłużenia pozytywnie skorelowana jest wielkość przedsiębiorstwa oraz rentowność, natomiast negatywnie – struktura aktywów i płynność finansowa. Z kolei z analizy regresji wynika, że poziom zadłużenia pozytywnie skorelowana jest tylko jedna zmienna – wielkością przedsiębiorstwa, natomiast negatywnie trzy zmienne – struktura aktywów, płynnością finansową oraz efektywna stopa podatkowa.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: An Artificial Neural Network (ANN) Model Proposal for Cost Minimization and Cost Estimation Based on Building Dimensions for Reinforced Concrete Duplex Villa in Preliminary Design
Autorzy:: Sağaz, Merve
Uğur, Latif Onur
Wydawca:: BGJ Consulting
Cytata wydawnicza:: Uğur, L.O., Sağaz, M. (2020). An Artificial Neural Network (ANN) Model Proposal for Cost Minimization and Cost Estimation Based on Building Dimensions for Reinforced Concrete Duplex Villa in Preliminary Design. Journal of Current Construction Issues. CIVIL ENGINEERING PRESENT PROBLEMS, INNOVATIVE SOLUTIONS - Challenges Facing the Construction Industry: 65-90.
Opis:: The primary aim of this study is to create connections / graphs showing the change of different design parameters and unit and average costs for reinforced concrete duplex houses. In this way, optimum cost-effective designs can be achieved. Another objective is to realize a cost estimation model based on a limited number of design parameters. Such a model will contribute to time and time savings in estimating low error rate cost to the preliminary design phase. Study; A model based on Artificial Neural Network (ANN) has been established for the purpose of preliminary estimation of the construction costs of 115 duplex villas. The data set, which was formed by using the existing data, was entered as data into ANNs structured in single and multi-layer, feed-forward, consultant learning features. These residential structures; basement floor areas, ground floor areas, first floor areas, building total areas, building heights, exterior façade areas, exterior façade areas, number of bathrooms, number of wc, number of kitchens, total wet areas, number of balconies, total balcony areas, rooms numbers and hall numbers were used as main evaluation criteria (input vectors) to the network. The cost values of each structure were used as output vectors. Learning, information storage and generalization features of this method; The performance of cost estimates in terms of proximity to reality is investigated. The solutions found by ANN are compared with Unit Price Based Cost (BFY) and Regression Analysis (RA) methods; error rates of cost estimates were evaluated. According to the results obtained, the estimated values obtained from the ANN created are closer to reality and applicable than the RA data. As a result of the study, it is understood that ANN modeling approach can be used successfully in the prediction stage of the costs of duplex reinforced concrete residential buildings. With the help of graphs showing the relationship between building dimensions and unit costs, optimum values were determined to reach minimum cost. These graphs can be utilized in the preliminary design phase of similar types of structures.
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Skocz do pozycji: 8.

Tytuł:: IS MULTIPLE LINEAR REGRESSION THE PROPER TOOL OF MODELLING A BEHAVIOUR OF REAL SYSTEMS?
Autorzy:: Nowak, Jacek
Tematy:: model of real system
multiple linear regression
real system structure
discrete automaton
„black box” modelling
quality of approximation; Pokaż więcej
Wydawca:: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Powiązania:: https://bibliotekanauki.pl/articles/453283.pdf Link otwiera się w nowym oknie
Opis:: Methodological assumption that multiple linear regression is an adequate tool of modelling the behaviour of real systems is checked. To do this the experiment is organised on the basis of simple “real” system represented as finite discrete automaton. Main result is that in situation of “black box” modelling the approximation of output variables with multiple linear regressions (from several samples and under different conditions) may not fulfil any of criterions of feasible approximation of systems behaviour, also in situations where real relation between input and output variables is strictly linear and only one of variables is omitted.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Structure and dynamics of selected stands of primeval character in the Pieniny National Park
Autorzy:: Jaworski, A
Podlaski, R.
Tematy:: Pieniny National Park
forest
species composition
structure
stand
development stage
fir
Abies alba
beech
Fagus sylvatica
plant regression; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Instytut Dendrologii PAN
Powiązania:: https://bibliotekanauki.pl/articles/41477.pdf Link otwiera się w nowym oknie
Opis:: The purpose of this study was to determine changes which occurred during 23 years (1974–1997) in four stands in respect of species composition, structure, developmental stages and phases. In 1997 the Walusiowka stand represented the growing up stage, phase of a multistory structure, and during the study period its volume decreased from 698 to 676 m3/ha.The Przełęcz Sosnow stand was in the growing up stage, phase of a little diversified storied structure and regeneration, and its volume decreased from 696 to 622 m3/ha.The Grodek stand during the entire study period was in the growing up stage, phase of the selection forest structure and regeneration, and its volume increased from 529 to 585 m3/ha.The Facimiech stand in 1997 was in the optimum stage, phase of aging and regeneration, and its volume decreased from 688 to 661 m3/ha.During 1974–1997 the percentage of fir (Abies alba) considerably decreased in three stands (Walusiowka from 46 to 33%, Przełęcz Sosnow from 58 to 36%, Grodek from 42 to 24%).The Facimiech stand was almost a pure fir stand during the entire control period. In the Przełęcz Sosnow stand, due to a rapid mortality of fir and presence of vital trees of beech (Fagus sylvatica) of the growing up and optimum growth generations, the break up stage did not take place but the growing up stage had developed, which indicated the disturbance of the natural cycle of the primeval forest described by Korpel’. A scarce presence of fir upgrowth and prevalence of beech in stands composed of these two species permits to suppose that fir will be retreating in favor of beech.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Evaluating methods for logging the pore structure of tight sandstone reservoir in Chang 6 member of the Yanchang Formation, Ordos Basin
Autorzy:: Zhong, Gaorun
Li, Yajun
Tan, Yuhan
Tematy:: ocena rejestrowania
regresja wieloparametrowa
sieć neuronowa
struktura porów
formacja yanchang
logging evaluation
multiparameter regression
neural network
pore structure
yanchang formation; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Powiązania:: https://bibliotekanauki.pl/articles/59111085.pdf Link otwiera się w nowym oknie
Opis:: Pore structure is a key parameter used to evaluate reservoir quality. At present, experimental method is the most important method to analyze reservoir pore structure. However, coring data may be limited, and it is not possible to perform experimental analyses on all cores. Therefore, the researchers explored the use of logging techniques to study the pore structure of reservoirs. The relationship between pore geometry index (PGI), pore permeability and mercury injection parameters was analyzed based on mercury injection experiment, thin slice analysis, production test data and well logging data. These results can then determine the response characteristics of the logging parameters that correspond to different pore structures and establish a method of modeling the PGI through a multiple parameter regression and neural network method. This research shows that: (1) PGI can quantitatively characterize pore structure, and the maximum pore throat radius, displacement pressure and flow unit index have the highest correlation with PGI, which can be accurately characterized by practical formulas; (2) Natural gamma ray, natural potential amplitude difference, acoustic transit time, density, compensated neutron, deep and shallow resistivity logging data can reflect the quality of the reservoir pore structure. However, there are limitations in evaluating reservoir pore structure with a single logging parameter. Multi-parameter regression method and neural network method realize the quantitative calculation of pore structure from the perspective of multi-parameter and nonlinear. (3) The neural network method and multiple parameter regression method are used to study the pore structure of reservoir and realize the continuous quantitative calculation of pore structure index in a single well. It can be used in uncored analysis Wells and as one of the parameters to evaluate reservoir pore structure.
Dostawca treści:: Biblioteka Nauki

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