scholarly journals Distributions and Composite Models for Size-Type Data

Author(s):  
Yves Dominicy ◽  
Corinne Sinner
Keyword(s):  
2020 ◽  
Vol 2 (1) ◽  
pp. 5
Author(s):  
Nur Haliza ◽  
Eko Kuntarto ◽  
Ade Kusmana

Children with hearing impairment are children with hearing loss who are classified into deaf and hard of hearing. The direct impact of disability is the obstruction of verbal / verbal communication, both speaking (expressive) and understanding the conversations of others (receptive). Obtaining the first language of a deaf child can be done with total communication. Total communication is the most effective communication system because in addition to using a form of communication orally or called oral, the activity of reading, writing, reading utterances, is also equipped with a form of cues. The purpose of this study was to determine the acquisition of language of children with special needs (deaf) in understanding language. Subjects in this study are children with special needs who experience speech impairment (hearing impairment) while the object of this study is focused on only one child, Mila Erdita, a 15-year-old child. This research refers to case studies with descriptive research type. Data collection techniques in this study will be done in three ways, namely; observation techniques, interview techniques, and documentation techniques. In this research, data processing that will be done is to describe the speech data of deaf children to see the acquisition of children's vocabulary. The results of this study indicate that deaf children can obtain a language of total communication using a form of communication orally or called oral, with the activities of reading, writing, reading utterances, also equipped with signs


Author(s):  
A. O. Marnila

Geragai graben is located in the South Sumatera Basin. It was formed by mega sequence tectonic process with various stratigraphic sequence from land and marine sedimentation. One of the overpressure indication zones in the Geragai graben is in the Gumai Formation, where the sedimentation is dominated by fine grained sand and shale with low porosity and permeability. The aim of the study is to localize the overpressure zone and to analyze the overpressure mechanism on the Gumai Formation. The Eaton method was used to determine pore pressure value using wireline log data, pressure data (RFT/FIT), and well report. The significant reversal of sonic and porosity log is indicating an overpressure presence. The cross-plot analysis of velocity vs density and fluid type data from well reports were used to analyze the causes of overpressure in the Gumai Formation. The overpressure in Gumai Formation of Geragai graben is divided into two zones, they are in the upper level and lower level of the Gumai Formation. Low overpressure have occurred in the Upper Gumai Formation and mild overpressure on the Lower Gumai Formation. Based on the analyzed data, it could be predicted, that the overpressure mechanism in the Upper Gumai Formation might have been caused by a hydrocarbon buoyancy, whereas in the Lower Gumai Formation, might have been caused by disequilibrium compaction as a result of massive shale sequence.


2020 ◽  
Vol 2 (5) ◽  
pp. 146-163
Author(s):  
I.V. PILIPENKO ◽  

Employing a full database of 822 projects, for the first time, this article presents an analysis of operations of the European Bank for Reconstruction and Development (the EBRD) in Russia since 1991 until nowadays. In the first part of the article, we consider main principles and general indicators of the EBRD’s activity in the Russian Federation. Using the author’s technique, we study how projects are distributed across different sectors, by size, type of financing and clients’ sponsors. The second part of this article focuses on a detailed analysis of the project activity of the EBRD in 11 economic sectors based on the bank’s classification: agribusiness, natural resources, manufacturing and services, equity funds, information and communication technologies, property and tourism, energy, municipal and environmental infrastructure (utilities), transport, banking and non-banking financial sectors.


2020 ◽  
Vol 1 (6) ◽  
pp. 146-177
Author(s):  
I.V. PILIPENKO ◽  

Employing a full database of 822 projects, for the first time, this article presents an analysis of operations of the European Bank for Reconstruction and Development (the EBRD) in Russia since 1991 until nowadays. In the first part of the article, we consider main principles and general indicators of the EBRD’s activity in the Russian Federation. Using the author’s technique, we study how projects are distributed across different sectors, by size, type of financing and clients’ sponsors. The second part of this article focuses on a detailed analysis of the project activity of the EBRD in 11 economic sectors based on the bank’s classification: agribusiness, natural resources, manufacturing and services, equity funds, information and communication technologies, property and tourism, energy, municipal and environmental infrastructure (utilities), transport, banking and non-banking financial sectors.


Risks ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 47
Author(s):  
Shuang Yin ◽  
Guojun Gan ◽  
Emiliano A. Valdez ◽  
Jeyaraj Vadiveloo

Death benefits are generally the largest cash flow items that affect the financial statements of life insurers; some may still not have a systematic process to track and monitor death claims. In this article, we explore data clustering to examine and understand how actual death claims differ from what is expected—an early stage of developing a monitoring system crucial for risk management. We extended the k-prototype clustering algorithm to draw inferences from a life insurance dataset using only the insured’s characteristics and policy information without regard to known mortality. This clustering has the feature of efficiently handling categorical, numerical, and spatial attributes. Using gap statistics, the optimal clusters obtained from the algorithm are then used to compare actual to expected death claims experience of the life insurance portfolio. Our empirical data contained observations of approximately 1.14 million policies with a total insured amount of over 650 billion dollars. For this portfolio, the algorithm produced three natural clusters, with each cluster having lower actual to expected death claims but with differing variability. The analytical results provide management a process to identify policyholders’ attributes that dominate significant mortality deviations, and thereby enhance decision making for taking necessary actions.


Author(s):  
Zaigham Tahir ◽  
Hina Khan ◽  
Muhammad Aslam ◽  
Javid Shabbir ◽  
Yasar Mahmood ◽  
...  

AbstractAll researches, under classical statistics, are based on determinate, crisp data to estimate the mean of the population when auxiliary information is available. Such estimates often are biased. The goal is to find the best estimates for the unknown value of the population mean with minimum mean square error (MSE). The neutrosophic statistics, generalization of classical statistics tackles vague, indeterminate, uncertain information. Thus, for the first time under neutrosophic statistics, to overcome the issues of estimation of the population mean of neutrosophic data, we have developed the neutrosophic ratio-type estimators for estimating the mean of the finite population utilizing auxiliary information. The neutrosophic observation is of the form $${Z}_{N}={Z}_{L}+{Z}_{U}{I}_{N}\, {\rm where}\, {I}_{N}\in \left[{I}_{L}, {I}_{U}\right], {Z}_{N}\in [{Z}_{l}, {Z}_{u}]$$ Z N = Z L + Z U I N where I N ∈ I L , I U , Z N ∈ [ Z l , Z u ] . The proposed estimators are very helpful to compute results when dealing with ambiguous, vague, and neutrosophic-type data. The results of these estimators are not single-valued but provide an interval form in which our population parameter may have more chance to lie. It increases the efficiency of the estimators, since we have an estimated interval that contains the unknown value of the population mean provided a minimum MSE. The efficiency of the proposed neutrosophic ratio-type estimators is also discussed using neutrosophic data of temperature and also by using simulation. A comparison is also conducted to illustrate the usefulness of Neutrosophic Ratio-type estimators over the classical estimators.


Metals ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 111
Author(s):  
Ivana O. Mladenović ◽  
Nebojša D. Nikolić ◽  
Jelena S. Lamovec ◽  
Dana Vasiljević-Radović ◽  
Vesna Radojević

The mechanical characteristics of electrochemically deposited copper coatings have been examined by application of two hardness composite models: the Chicot-Lesage (C-L) and the Cheng-Gao (C-G) models. The 10, 20, 40 and 60 µm thick fine-grained Cu coatings were electrodeposited on the brass by the regime of pulsating current (PC) at an average current density of 50 mA cm−2, and were characterized by scanning electron (SEM), atomic force (AFM) and optical (OM) microscopes. By application of the C-L model we determined a limiting relative indentation depth (RID) value that separates the area of the coating hardness from that with a strong effect of the substrate on the measured composite hardness. The coating hardness values in the 0.9418–1.1399 GPa range, obtained by the C-G model, confirmed the assumption that the Cu coatings on the brass belongs to the “soft film on hard substrate” composite hardness system. The obtained stress exponents in the 4.35–7.69 range at an applied load of 0.49 N indicated that the dominant creep mechanism is the dislocation creep and the dislocation climb. The obtained mechanical characteristics were compared with those recently obtained on the Si(111) substrate, and the effects of substrate characteristics such as hardness and roughness on the mechanical characteristics of the electrodeposited Cu coatings were discussed and explained.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Feiyu Long ◽  
Nianwen Ning ◽  
Yunlei Zhang ◽  
Chenguang Song ◽  
Pengpeng Zhou ◽  
...  

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