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Wyświetlanie 1-15 z 130
Tytuł:
Impact of TBTs on Trade in ICT Goods: Differentiating by Regulatory Objectives
Autorzy:
Ghodsi, Mahdi
Powiązania:
https://bibliotekanauki.pl/articles/29431179.pdf
Data publikacji:
2024-03-28
Wydawca:
Uniwersytet Warszawski. Wydział Nauk Ekonomicznych
Tematy:
Information and communications technology
non-tariff measures
technical barriers to trade
| Pseudo Poisson Maximum Likelihood
World Trade Organization
Opis:
This paper analyses how different types of technical barriers to trade (TBTs) imposed on imports of information and communications technology (ICT) goods globally affected the value and volume of imported goods during the period of 1996–2018. Key words cited in the TBTs give an indication of the aims behind the imposition of TBTs. The results indicate that TBTs have a strong positive impact on the value of imports. While many key words cited in TBTs notified to the World Trade Organization (WTO) affect the value and volume of imports in a positive way, certain other TBTs function as trade barriers.
Źródło:
Central European Economic Journal; 2024, 11, 58; 97-127
2543-6821
Pojawia się w:
Central European Economic Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of COVID-19 and cancer data using new half-logistic generated family of distributions
Autorzy:
Khan, Sadaf
Tahir, Muhammad H.
Jamal, Farrukh
Powiązania:
https://bibliotekanauki.pl/articles/29127967.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
half-logistic distribution
generalized family
likelihood estimation
bio-medical data
Frechet distribution
Opis:
We focus on a specific sub-model of the proposed family that we call the new half logistic-Fréchet. This sub-model stems from a new generalisation of the half-logistic distribution which we call the new half-logistic-G. The novelty of proposing this new family is that it does not include any additional parameters and instead relies on the baseline parameter. Standard statistical formulas are used to show the forms of the density and failure rate functions, ordinary and incomplete moments with generating functions, and random variate generation. The maximum likelihood estimation procedure is used to estimate the set of parameters. We conduct a simulation analysis to ensure that our calculations are converging with lower mean square error and biases. We use three real-life data sets to equate our model to well-established existing models. The proposed model outperforms the well-established four parameters beta Fréchet and exponentiated generalized Fréchet for some real- -life results, with three parameters such as half-logistic Fréchet, exponentiated Fréchet, Zografos–Balakrishnan gamma Fréchet, Topp–Leonne Fréchet, and Marshall–Olkin Fréchet and two-parameter classical Fréchet distribution.
Źródło:
Operations Research and Decisions; 2023, 33, 4; 71--95
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Assessing the Shallow Water Habitat Mapping Extracted from High-Resolution Satellite Image with Multi Classification Algorithms
Autorzy:
Nandika, Muhammad Rizki
Ulfa, Azura
Ibrahim, Andi
Purwanto, Anang Dwi
Powiązania:
https://bibliotekanauki.pl/articles/8413878.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
accuracy
coral
seagrass
Maximum Likelihood
Minimum Distance
Support Vector Machine
remote sensing
Opis:
Remote sensing technology is reliable in identifying the distribution of seabed cover yet there are still challenges in retrieving the data collection of shallow water habitats than with other objects on land. Classification algorithms based on remote sensing technology have been developed for application to map benthic habitats, such as Maximum Likelihood, Minimum Distance, and Support Vector Machine. This study focuses on examining those three classification algorithms to retrieve information on the benthic habitat in Pari Island, Jakarta using visual interpretation data for classification, and data field measurements for accuracy testing. This study used five classes of benthic objects, namely sand, sand-seagrass, rubble, seagrass, and coral. The results show how the proposed approach in this study provides an overall good classification of marine habitat with an accuracy produced 63.89–81.95%. The Support Vector Machine algorithm produced the highest accuracy rate of about 81.95%. The Support Vector Machine algorithm at a very high spatial resolution is considered to be capable of identifying, monitoring, and performing the rapid assessment of benthic habitat objects.
Źródło:
Geomatics and Environmental Engineering; 2023, 17, 2; 69--87
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bayesian estimation of fertility rates under imperfect age reporting
Autorzy:
Verma, Vivek
Nath, Dilip C.
Dwivedi, S. N.
Powiązania:
https://bibliotekanauki.pl/articles/14761323.pdf
Data publikacji:
2023-03-15
Wydawca:
Główny Urząd Statystyczny
Tematy:
Fisher information
square error loss function
age-specific marital fertility rate
Bayes estimator
maximum likelihood principle
Opis:
This article outlines the application of the Bayesian method of parameter estimation to situations where the probability of age misreporting is high, leading to transfers of an individual from one age group to another. An essential requirement for Bayesian estimation is prior distribution, derived for both perfect and imperfect age reporting. As an alternative to the Bayesian methodology, a classical estimator based on the maximum likelihood principle has also been discussed. Here, the age misreporting probability matrix has been constructed using a performance indicator, which incorporates the relative performance of estimators based on age when reported correctly instead of misreporting. The initial guess of performance indicators can either be empirically or theoretically derived. The method has been illustrated by using data on Empowered Action Group (EAG) states of India from National Family Health Survey-3 (2005-2006) to estimate the total marital fertility rates. The present study reveals through both a simulation and real-life set-up that the Bayesian estimation method has been more promising and reliable in estimating fertility rates, even in situations where age misreporting is higher than in case of classical maximum likelihood estimates.
Źródło:
Statistics in Transition new series; 2023, 24, 2; 39-57
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Female Consumers’ Involvement in Intentional Non-Sustainable and Unintentional Sustainable Apparel Decisions: An Emerging Market Perspective
Autorzy:
Kempen, Elizabeth
Tobias-Mamina, Rejoice
Strydom, Mariette
Christie, Lorna
Makopo, Mirriam
Powiązania:
https://bibliotekanauki.pl/articles/32306053.pdf
Data publikacji:
2023-01-11
Wydawca:
Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
Tematy:
Elaboration Likelihood Model
emerging market
apparel
sustainability
disposal
purchasing behaviour
Opis:
This study is aimed at determining consumers’ sustainable apparel involvement in the purchasing or disposing of apparel in an emerging market context (EMC). Consumers in developed countries show increased interest in sustainable apparel behaviour, contrary to emerging markets such as South Africa, which is indicative of the lowest level of sustainable apparel consumption. An exploratory descriptive qualitative research design was used to determine consumers’ involvement and was facilitated through eleven digitally recorded small focus groups with female apparel shoppers who make use of a custom-made apparel designers. The findings reveal intentional non-sustainable apparel decisions manifest through eco-uninvolved instore purchases and once-off commissioned designer apparel orders. Unintentional sustainable apparel behaviour is characterised by (1) in-store apparel purchases: signifying quality clothing, observed in the material and stitching, resulting in clothing items worn for longer and handed down from generation to generation, sensitivity to the origin of the garment and (2) apparel disposal behaviour such as (a) keeping apparel as cleaning material and repurposing into wearable apparel; (b) permanent disposal through handing down items and (c) temporary disposal through exchanged items. Applying the Elaboration Likelihood Model, it was possible to explain the lack of elaborated involvement in sustainable apparel practices resembling the peripheral route of the model. Unintentional sustainable practices have not been identified in the South African context, indicating the valuable contribution consumers in an emerging market context (EMC) can make if better awareness is created by the government and the retail sector specifically to address intentional non-sustainable purchasing behaviours in future.
Źródło:
Journal of Marketing and Consumer Behaviour in Emerging Markets; 2023, 1(16); 1-21
2449-6634
Pojawia się w:
Journal of Marketing and Consumer Behaviour in Emerging Markets
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Methods for combining probability and nonprobability samples under unknown overlaps
Autorzy:
Savitsky, Terrance D.
Williams, Matthew R.
Gershunskaya, Julie
Beresovsky, Vladislav
Powiązania:
https://bibliotekanauki.pl/articles/31342142.pdf
Data publikacji:
2023-12-07
Wydawca:
Główny Urząd Statystyczny
Tematy:
Survey sampling
Nonprobability sampling
Data combining
Inclusion probabilities
Exact sample likelihood
Bayesian hierarchical modeling
Opis:
Nonprobability (convenience) samples are increasingly sought to reduce the estimation variance for one or more population variables of interest that are estimated using a randomized survey (reference) sample by increasing the effective sample size. Estimation of a population quantity derived from a convenience sample will typically result in bias since the distribution of variables of interest in the convenience sample is different from the population distribution. A recent set of approaches estimates inclusion probabilities for convenience sample units by specifying reference sample-weighted pseudo likelihoods. This paper introduces a novel approach that derives the propensity score for the observed sample as a function of inclusion probabilities for the reference and convenience samples as our main result. Our approach allows specification of a likelihood directly for the observed sample as opposed to the approximate or pseudo likelihood. We construct a Bayesian hierarchical formulation that simultaneously estimates sample propensity scores and the convenience sample inclusion probabilities. We use a Monte Carlo simulation study to compare our likelihood based results with the pseudo likelihood based approaches considered in the literature.
Źródło:
Statistics in Transition new series; 2023, 24, 5; 1-34
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A comparison of the method of moments estimator and maximum likelihood estimator for the success probability in the Fibonacci-type probability distribution
Autorzy:
Kwon, Yeil
Powiązania:
https://bibliotekanauki.pl/articles/2107135.pdf
Data publikacji:
2022-09-14
Wydawca:
Główny Urząd Statystyczny
Tematy:
Fibonacci probability distribution
generalized polynacci distribution
factorial moment generating function
method of moments
maximum likelihood estimator
Opis:
A Fibonacci-type probability distribution provides the probabilistic models for establishing stopping rules associated with the number of consecutive successes. It can be interpreted as a generalized version of a geometric distribution. In this article, after revisiting the Fibonaccitype probability distribution to explore its definition, moments and properties, we proposed numerical methods to obtain two estimators of the success probability: the method of moments estimator (MME) and maximum likelihood estimator (MLE). The ways both of them performed were compared in terms of the mean squared error. A numerical study demonsrated that the MLE tends to outperform the MME for most of the parameter space with various sample sizes.
Źródło:
Statistics in Transition new series; 2022, 23, 3; 27-41
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Approximate Evaluation of BER Performance for Downlink GSVD-NOMA with Joint Maximum-likelihood Detector
Autorzy:
Hai, Ngo Thanh
Khoa, Dang Le
Powiązania:
https://bibliotekanauki.pl/articles/2142315.pdf
Data publikacji:
2022
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
generalized singular value decomposition
GSVD
joint maximum-likelihood
joint modulation
MIMO
non-orthogonal multiple access
NOMA
Opis:
Generalized Singular Value Decomposition (GSVD) is the enabling linear precoding scheme for multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) systems. In this paper, we extend research concerning downlink MIMO-NOMA systems with GSVD to cover bit terror rate (BER) performance and to derive an approximate evaluation of the average BER performance. Specifically, we deploy, AT the base station, the well-known technique of joint-modulation to generate NOMAsymbols and joint maximum-likelihood (ML) to recover the transmitted data at end user locations. Consequently, the joint ML detector offers almost the same performance, In terms of average BER as ideal successive interference cancellation. Next, we also investigate BER performance of other precoding schemes, such as zero-forcing, block diagonalization, and simultaneous triangularization, comparing them with GSVD. Furthermore, BER performance is verified in different configurations in relation to the number of antennas. In cases where the number of transmit antennas is greater than twice the number of receive antennas, average BER performance is superior.
Źródło:
Journal of Telecommunications and Information Technology; 2022, 3; 25--37
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Evaluation of Pixel-based and Object-based Classification Methods for Land Use Land Cover Analysis Using Geoinformatic Techniques
Autorzy:
Powar, Sudhir K.
Panhalkar, Sachin S.
Patil, Abhijit S.
Powiązania:
https://bibliotekanauki.pl/articles/2055771.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
pixel-based classification (PBC)
object-based classification(OBC)
maximum likelihood classifier
multi-resolution segmentation
Opis:
Land use land cover (LULC) classification is a valuable asset for resource managers; in many fields of study, it has become essential to monitor LULC at different scales. As a result, the primary goal of this work is to compare and contrast the performance of pixel-based and object-based categorization algorithms. The supervised maximum likelihood classifier (MLC) technique was employed in pixel-based classification, while multi-resolution segmentation and the standard nearest neighbor (SNN) algorithm were employed in object-based classification. For the urban and suburban parts of Kolhapur, the Resourcesat-2 LISS-IV image was used, and the entire research region was classified into five LULC groups. The performance of the two approaches was examined by comparing the classification results. For accuracy evaluation, the ground truth data was used, and confusion matrixes were generated. The overall accuracy of the object-based methodology was 84.66%, which was significantly greater than the overall accuracy of the pixel-based categorization methodology, which was 72.66%. The findings of this study show that object-based classification is more appropriate for high-resolution Resourcesat-2 satellite data than MLC of pixel-based classification.
Źródło:
Geomatics and Environmental Engineering; 2022, 16, 2; 61--75
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Arriving air traffic separations generalized model identification
Autorzy:
Pawełek, Adrian
Lichota, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/2173648.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
air traffic
system identification
maximum likelihood
modelling
ruch lotniczy
identyfikacja systemu
prawdopodobieństwo maksymalne
modelowanie
Opis:
Quick development of computer techniques and increasing computational power allow for building high-fidelity models of various complex objects and processes using historical data. One of the processes of this kind is an air traffic, and there is a growing need for traffic mathematical models as air traffic is increasing and becoming more complex to manage. This study concerned the modelling of a part of the arrival process. The first part of the research was air separation modelling by using continuous probability distributions. Fisher information matrix was used for the best fit selection. The second part of the research consisted of applying regression models that best match the parameters of representative distributions. Over a dozen airports were analyzed in the study and that allowed to build a generalized model for aircraft air separation in function of traffic intensity. Results showed that building a generalized model which comprises traffic from various airports is possible. Moreover, aircraft air separation can be expressed by easy to use mathematical functions. Models of this kind can be used for various applications, e.g.: air separation management between aircraft, airports arrival capacity management, and higher-level air traffic simulation or optimization tasks.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 2; art. no. e140694
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Estimation of P(X ≤ Y ) for discrete distributions with non-identical support
Autorzy:
Mouli Choudhury, Mriganka
Bhattacharya, Rahul
Maiti, Sudhansu S.
Powiązania:
https://bibliotekanauki.pl/articles/2107147.pdf
Data publikacji:
2022-09-14
Wydawca:
Główny Urząd Statystyczny
Tematy:
stress-strength model
uniformly minimum variance unbiased
maximum likelihood
Opis:
The Uniformly Minimum Variance Unbiased (UMVU) and the Maximum Likelihood (ML) estimations of R = P(X ≤ Y ) and the associated variance are considered for independent discrete random variables X and Y. Assuming a discrete uniform distribution for X and the distribution of Y as a member of the discrete one parameter exponential family of distributions, theoretical expressions of such quantities are derived. Similar expressions are obtained when X and Y interchange their roles and both variables are from the discrete uniform distribution. A simulation study is carried out to compare the estimators numerically. A real application based on demand-supply system data is provided.
Źródło:
Statistics in Transition new series; 2022, 23, 3; 43-64
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Frequency magnitude distribution and spatial correlation dimension of earthquakes in north-east Himalaya and adjacent regions
Autorzy:
Tiwari, Ram Krishna
Paudyal, Harihar
Powiązania:
https://bibliotekanauki.pl/articles/2204361.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
north-east India
b value
maximum likelihood estimation
correlation dimension
Indie północno-wschodnie
parametr b
największa wiarygodność
estymacja
wymiar korelacyjny
Opis:
The north-east sector of the Himalaya is one of the most active tectonic belts, with complex geological and tectonic features. The b-value and spatial correlation dimension (Dc) of earthquake distribution in the north-east Himalaya and its adjacent regions (20–32°N and 88–98°E) are estimated in the present study. Based on seismicity and faulting pattern, the region is divided into five active regions, namely the (i) South-Tibet, (ii) Eastern-Syntaxis, (iii) Himalayan-Frontal Arc, (iv) Arakan-Yoma belt and (v) Shillong-Plateau. A homogeneous catalogue of 1,416 earthquakes (mb ≥ 4.5) has been prepared from a revised catalogue of the ISC (International Seismological Centre). The b-value has been appraised by the maximum likelihood estimation method, while Dc values have been calculated by the correlation integral meth-od; b-values of 1.08 ± 0.09, 1.13 ± 0.05, 0.92 ± 0.05, 1.00 ± 0.03 and 0.98 ± 0.08 have been computed for the South-Tibet, Eastern-Syntaxis, Himalayan-Frontal Arc, Arakan-Yoma belt and Shillong-Plateau region, respectively. The Dc values computed for the respective regions are 1.36 ± 0.02, 1.74 ± 0.04, 1.57 ± 0.01, 1.8 ± 0.01, and 1.83 ± 0.02. These values are > 1.5, except for the South-Tibet (1.36 ± 0.02). The b-values around the global average value (1.0) reflect the stress level and seismic activity of the regions, while high Dc values refer to the heterogeneity of the seismogenic sources.
Źródło:
Geologos; 2022, 28, 2; 115--128
1426-8981
2080-6574
Pojawia się w:
Geologos
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Generalized extended Marshall-Olkin family of lifetime distributions
Autorzy:
Goldoust, Mehdi
Mohammadpour, Adel
Powiązania:
https://bibliotekanauki.pl/articles/2034093.pdf
Data publikacji:
2022-03-15
Wydawca:
Główny Urząd Statystyczny
Tematy:
compound distribution
hazard rate function
lifetime distribution
maximum likelihood estimation
power series distribution
Opis:
We introduce a new generalized family of nonnegative continuous distributions by adding two extra parameters to a lifetime distribution, called the baseline distribution, by twice compounding a power series distribution. The new family, called the lifetime power series-power series family, has a serial arrangement of parallel structures, which extends the Marshall and Olkin structure. Four special models are discussed. A mathematical treatment of the new distributions is provided, including ordinary and incomplete moments, quantile, moment generating and mean residual functions. The maximum likelihood estimation technique is used to estimate the model parameters and a simulation study is conducted to investigate the performance of the maximum likelihood estimates. Its applicability is also illustrated by means of two real data sets.
Źródło:
Statistics in Transition new series; 2022, 23, 1; 55-74
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
New polynomial exponential distribution: properties and applications
Autorzy:
Beghriche, Abdelfateh
Zeghdoudi, Halim
Raman, Vinoth
Chouia, Sarra
Powiązania:
https://bibliotekanauki.pl/articles/2108330.pdf
Data publikacji:
2022-09-14
Wydawca:
Główny Urząd Statystyczny
Tematy:
exponential distribution
Xgamma distribution
Lindley distribution
quantile function stochastic ordering
maximum-likelihood estimation
XLindley distribution
Opis:
The study describes the general concept of the XLindley distribution. Forms of density and hazard rate functions are investigated. Moreover, precise formulations for several numerical properties of distributions are derived. Extreme order statistics are established using stochastic ordering, the moment method, the maximum likelihood estimation, entropies and the limiting distribution. We demonstrate the new family's adaptability by applying it to a variety of real-world datasets.
Źródło:
Statistics in Transition new series; 2022, 23, 3; 95-112
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimal Method for Polarization Selection of Stationary Objects Against the Background of the Earth’s Surface
Autorzy:
Volosyuk, Valerii
Zhyla, Simeon
Pavlikov, Vladimir
Ruzhentsev, Nikolay
Tserne, Eduard
Popov, Anatoliy
Shmatko, Oleksandr
Dergachov, Kostiantyn
Havrylenko, Olena
Ostroumov, Ivan
Kuzmenko, Nataliia
Sushchenko, Olga
Averyanova, Yuliya
Zaliskyi, Maksym
Solomentsev, Oleksandr
Kuznetsov, Borys
Nikitina, Tatyana
Powiązania:
https://bibliotekanauki.pl/articles/2055248.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
polarimetric radar
polarization selection
power lines detection
multichannel processing
maximum likelihood method
Opis:
Within the maximum likelihood method an optimal algorithm for polarization target selection against the background of interfering signal reflected from the earth’s surface is synthesized. The algorithm contains joint operations of spectral interference rejection and their polarization compensation by means of certain combinations of interchannel subtraction of signals of different polarizations. The physical features of the elements of the polarization scattering matrix are investigated for the technical implementation of the synthesized algorithm.
Źródło:
International Journal of Electronics and Telecommunications; 2022, 68, 1; 83--89
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 130

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