Functional annotation by sequence-weighted structure alignments: Statistical analysis and case studies from the Protein 3000 structural genomics project in Japan

2008 ◽  
Vol 72 (4) ◽  
pp. 1333-1351 ◽  
Author(s):  
Daron M. Standley ◽  
Hiroyuki Toh ◽  
Haruki Nakamura
Keyword(s):  
Statistical Analysis ◽  
Case Studies ◽  
Structural Genomics ◽  
Functional Annotation

scholarly journals Statistical Analysis and Stochastic Modelling of Hydrological Extremes

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1861 ◽  
Author(s):  
Hossein Tabari
Keyword(s):  
Statistical Analysis ◽  
Case Studies ◽  
Small Sample Size ◽  
Stochastic Modelling ◽  
Small Sample ◽  
Climate Conditions ◽  
Hydrological Extremes ◽  
Wide Range ◽  
Scale Models ◽  
Projected Changes

Analysis of hydrological extremes is challenging due to their rarity and small sample size and the interconnections between different types of extremes and gets further complicated by an untrustworthy representation of meso-scale processes involved in extreme events by coarse spatial and temporal scale models as well as biased or missing observations due to technical difficulties during extreme conditions. The special issue “Statistical Analysis and Stochastic Modelling of Hydrological Extremes”—motivated by the need to apply and develop innovative stochastic and statistical approaches to analyze hydrological extremes under current and future climate conditions —encompass 13 research papers. Case studies presented in the papers exploit a wide range of innovative techniques for hydrological extremes analyses. The papers focus on six topics: Historical changes in hydrological extremes, projected changes in hydrological extremes, downscaling of hydrological extremes, early warning and forecasting systems for drought and flood, interconnections of hydrological extremes and applicability of satellite data for hydrological studies. This Editorial provides an overview of the covered topics and reviews the case studies relevant for each topic.

scholarly journals PENGARUH DIVIDEN, HUTANG, INVESTASI, DAN PROFITABILITAS TERHADAP NILAI PERUSAHAAN (Studi Kasus Sektor Aneka Industri di Bursa Efek Indonesia 2012-2014)

2020 ◽  
Vol 6 (1) ◽  
pp. 96
Author(s):  
Lia Indrayanti ◽  
Rikha Muftia Khoirunnisa
Keyword(s):  
Statistical Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Case Studies ◽  
Firm Value ◽  
Stock Exchange ◽  
Statistical Tests ◽  
Sampling Technique ◽  
T Test ◽  
Industrial Sectors

This study aims to examine the effect of dividends, debt, investment, and profitability to firm value (case studies of various sectors industry on the Indonesia Stock Exchange 2012-2014). The sample in this study is companies in various industrial sectors. Deep sampling technique. This research uses purposive sampling technique, obtained 7 samples companies in various industrial sectors. Test by using a test statistical analysis of multiple linear regression. Partially, statistical tests are used is the t test and simultaneously with the F test. Based on the results the research can be concluded that partially dividends have no effect to the value of the company in various industrial sectors, debt, investment, and profitability affects the value of the company in various industrial sectors, and simultaneously dividends, debt, investment, and profitability have an effect to the value of the company in various industrial sectors.

Statistical Analysis for Wavelength-Resolution SAR Image Stacks: New Case Studies

2020 ◽  
Author(s):  
Dimas Alves ◽  
Crístian Müller ◽  
Bruna Palm ◽  
Vu Thuy ◽  
Mats Pettersson ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Case Studies ◽  
Sar Image ◽  
Wavelength Resolution
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