http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Nonparametric homogeneity test based on ridit reliability functional
Uttam Bandyopadhyay,Debajit Chatterjee 한국통계학회 2015 Journal of the Korean Statistical Society Vol.44 No.4
The paper provides nonparametric test procedures for comparing K (>2) unknown univariate populations, in which the tests are formulated by using consistent estimators of the ridit reliability functionals (see, for example, Bandyopadhyay and De, 2011) for comparing more than two populations. The tests are asymptotically distribution free and can be used for data on both discrete and continuous random variables. An extensive numerical study is performed to compare the proposed test with the nonparametric tests, obtained from Konietschke et al. (2012), in terms of type I error rate and power. A data study illustrates the use of such tests.
Single contrast tests for detecting trends in binomial proportions
Uttam Bandyopadhyay,Parthasarathi Chakrabarti 한국통계학회 2013 Journal of the Korean Statistical Society Vol.42 No.2
The present study is related to the detection of trends in binomial proportions. Most of the tests usually adopted to detect trends in this regard are either based on scores, the choice of which is subjective, or are difficult to administer because of being complicated. As a remedy, two single contrast tests are proposed for this purpose. Performance measures of the proposed tests are obtained numerically and are compared with those of some of the existing competitors.
The Relationship Between Foreign Aid and Economic Growth: Empirical Evidence from Bangladesh
Uttam GOLDER,Md. Imran SHEIKH,Fatema SULTANA 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.4
Bangladesh’s growing foreign aid has sparked controversy over whether it affects the country’s economic performance. This review assesses foreign aid’s influence on the country’s economic growth with annual data covering the 1989–2018 period. The Autoregressive Distributed Lag (ARDL) model is applied to achieve the research objective, and the empirical results indicate a substantial and robust impact of foreign assistance on economic growth. The outcome further reveal that domestic investment also contributes significantly to the country’s economic evolution. However, trade openness plays a substantial positive role in the short run, although the impact is immaterial in the long run. The empirical findings indicate that the association between aid, domestic investment, and growth has a confident meaningful effect at 1 per cent level in the long run, whereas aid influences more than domestic investment. However, in the short run, aid, domestic investment, trade openness, and growth show positive and noteworthy response also at 1 percent level. This review undertakes a detailed analysis about the country’s economic growth, and grounded on its outcome, this work suggests that focus should be placed more on creating domestic investment, promoting more export, and allocation of aid should be determined by the relative needs of the country
Uttam Manna,이준신,Hiranmoy Saha,Jinsu Yoo,김경해,Manoharan Gowtham,Suresh Kumar Dhungel,Utpal Gangopadhyay 한국물리학회 2005 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.46 No.2
The absorption loss in the n/Al interface of a p-i-n thin- film solar cell is high due to the higher extinction coefficient of the Al used as a back reflector. The insertion of a thin ZnO layer in the n-a-Si : H/Al interface of a solar cell with Glass/textured SnO2 : F/p-a-SiC : H/buffer layer/i-a-Si : H/na- Si : H/Al structure minimizes the absorption loss as ZnO has a lower extinction coefficient (less than 0.5) at longer wavelengths. In this article, the dependence of various electrical characteristics, such as the resistivity, the carrier concentration, the mobility and the optical transmittance, of ZnO : Al films on the thickness and the impact of the thickness of a ZnO : Al film used as a back reflector on the performance of solar cells are reported. The ZnO:Al films are prepared by using a rf magnetron sputtering system. For a 140-nm-thick ZnO : Al layer, the short-circuit current (Isc) increases by 12.7 % in comparison to that for the pure Al-metal back-reflector case. Isc further increases by 23 % when a 180-nm ZnO : Al layer is used, and the conversion efficiency of the solar cell is around 10.26 % for the 180-nm-thick ZnO : Al. The cell efficiency depends on the film thickness. The crystal quality of the deposited film is improved as the film thickness is increased.
Two-treatment covariate-dependent response adaptive allocation design for dichotomous response
Uttam Bandyopadhyay,Saurav De 한국통계학회 2009 Journal of the Korean Statistical Society Vol.38 No.2
In the present work we use ridit, a measure comparing two discrete random variables, to develop a two-treatment response adaptive allocation technique in the presence of a stochastic prognostic factor. Various exact and asymptotic performance measures of the proposed technique are obtained and are compared with that of the existing techniques.
The Impact of COVID-19 on the Volatility of Bangladeshi Stock Market: Evidence from GJR-GARCH Model
Uttam GOLDER,Nishat RUMALY,A. H. M. SHAHRIAR,Mohammad Jahangir ALAM,A. Amin BISWAS,Mohammad Nazrul ISLAM 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.4
The enormous sway of COVID-19 on the international financial market has been felt across the globe. The financial markets of Bangladesh have also been similarly affected by the global epidemic and experienced a significant increase in volatility. To scrutinise the connection between COVID-19 and the Dhaka Stock Exchange (DSE) indices’ return and instability, this study uses data of the DSE from February 2014 to September 2021. A comparative examination of the return and instability of the stock indices of the DSE has also been done considering the outbreak of the current COVID-19 situation. After using the GJR-GARCH (1,1) model, this review uncovers that the outbreak of COVID-19 has a statistically positive noteworthy association with the DSE stock indices’ instability, which increases the market’s volatility. Traders’ fear and the rising frequency of COVID-19 reported patients could cause this. Besides, according to this study, COVID-19 shows a substantial positive linkage with stock market returns that increases the market’s return. An appealing valuation, lower interest rates in the banking channel, economic rebound following the closure to prevent coronavirus transmission, improved remittance inflows, and a return of export revenues could all have contributed to this outcome. In addition, the findings also reveal that all market indices are in a mean-reverting phase.
Uttam Khatri,Goo-Rak Kwon 대한전자공학회 2021 IEIE Transactions on Smart Processing & Computing Vol.10 No.1
sMRI measurement is important for characterizing the pathology of Alzheimer’s disease (AD), mild cognitive impairment (MCI), and healthy control (HC). To date, several imaging and non-imaging bio-markers for AD and MCI have been identified. Cortical thickness, hippocampal atrophy, apolipoprotein E gene ε4 (APoE ε4), and cerebrospinal fluid (CSF) biomarkers are believed to be the major indicators for AD and MCI. In this paper, these features have been utilized successfully to identify AD patients from controls. These biomarkers have mostly been used separately, so far. The full possibilities of combining sMRI, cortical thickness, hippocampal volume, APoE ε4, and CSF biomarkers for AD diagnosis might thus yet lead to optimal analysis. Therefore, we combined hippocampal volume, cortical thickness, APoE ε4, and CSF markers to enhance diagnostic classification of AD. For 53 clinically diagnosed AD patients, 103 patients with mild cognitive impairment, and 61 cognitively healthy controls, we obtained cortical thickness, hippocampal volume, APoE ε4, and CSF biomarkers. These four measures were first applied separately and were then combined to predict AD in support vector machine–recursive feature elimination (SVM-RFE) to select the optimal features. They were fed into different classifiers (naïve Bayes, k-nearest neighbors, and SVM), and experimental results show that the combination of the different biomarkers performs well, as compared to using separate features individually.
Some inferential procedures in randomized repeated measurement design for binary response
Uttam Bandyopadhyay,Atanu Biswas,Shirsendu Mukherjee 한국통계학회 2011 Journal of the Korean Statistical Society Vol.40 No.3
We consider a two-treatment two-period crossover design in the presence of possible carryover effects, where the treatment responses are binary. We provide some simple probability models incorporating the possible carryover effects. Asymptotic distributions of the estimates of the parameters under the proposed models are derived. We carry out tests for treatment difference and carryover effects. Finally we use a data set to illustrate the applicability of the proposed procedures.