Modeling Inflation in India : A Univariate Approach

Author(s):  
Ketan D. Kothadia ◽  
Dinkar N. Nayak
Keyword(s):  
2017 ◽  
Author(s):  
Gang Chen ◽  
Yaqiong Xiao ◽  
Paul A. Taylor ◽  
Justin K. Rajendra ◽  
Tracy Riggins ◽  
...  

AbstractHere we address the current issues of inefficiency and over-penalization in the massively univariate approach followed by the correction for multiple testing, and propose a more efficient model that pools and shares information among brain regions. Using Bayesian multilevel (BML) modeling, we control two types of error that are more relevant than the conventional false positive rate (FPR): incorrect sign (type S) and incorrect magnitude (type M). BML also aims to achieve two goals: 1) improving modeling efficiency by having one integrative model and thereby dissolving the multiple testing issue, and 2) turning the focus of conventional null hypothesis significant testing (NHST) on FPR into quality control by calibrating type S errors while maintaining a reasonable level of inference efficiency The performance and validity of this approach are demonstrated through an application at the region of interest (ROI) level, with all the regions on an equal footing: unlike the current approaches under NHST, small regions are not disadvantaged simply because of their physical size. In addition, compared to the massively univariate approach, BML may simultaneously achieve increased spatial specificity and inference efficiency, and promote results reporting in totality and transparency. The benefits of BML are illustrated in performance and quality checking using an experimental dataset. The methodology also avoids the current practice of sharp and arbitrary thresholding in thep-value funnel to which the multidimensional data are reduced. The BML approach with its auxiliary tools is available as part of the AFNI suite for general use.


Author(s):  
Scott E. Maxwell ◽  
Harold D. Delaney ◽  
Ken Kelley

Work ◽  
2020 ◽  
pp. 1-16
Author(s):  
Aleksandar Brkić ◽  
Zorica Veljković ◽  
Vesna Spasojevic Brkić ◽  
Ahmed Essdai ◽  
Snežana Pavićević

BACKGROUND: Previous research has shown that the collection and analysis of crane operators’ anthropometric characteristics is very important for operators’ comfort, health and working ability and also from the aspect of performance, productivity and safety. OBJECTIVE: The first aim of this survey is to collect up-to-date anthropometric data of crane operators in Serbia and to collect those data for the first time in Libya. The second aim of this survey is to compare the collected data. The third aim is to model the interior space necessary to accommodate operators in the cabins they operate in Serbia and Libya. METHODS: Standing height, sitting height, lower leg length, upper leg length, shoulder width, hip breadth, arm length, foot length and weight data were collected of 83 Serbian and 50 Libyan crane operators. Descriptive statistics, correlation analysis and tests for differences between variables were conducted to examine differences between Serbian and Libyan crane operators and enable further modeling. The modeling of the cabin interior was done using both univariate and multivariate operators’ models from both samples. RESULTS: There are only four common correlations between variables for both samples. The only measurement without statistical differences is shoulder width. Serbian crane operators have statistically higher values of almost all measurements in comparison to Libyans. The minimal cabin interior space dimensions are 1207×1080×1884 mm for Serbian operators and 1106×1040×1790 mm for Libyan operators when using univariate approach, while multivariate approach provides more precise and comfortable accommodation within 1327×1123×1926 mm for Serbian operators and 1203×1090×1830 mm for Libyan operators. Accordingly, our survey shows that percentile models include less than the intended population proportion in the design problem with few dimensions and depends on correlations among them. CONCLUSIONS: A number of problems are solved through modeling the crane operator workspace and it has been shown that cabins with different dimensions have to be offered to Serbian and Libyan markets.


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