Descriptive Statistics

Chattamvelli, Rajan; Shanmugam, Ramalingam

doi:10.1007/978-3-031-32330-0_1

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…In Step 2, data descriptive statistics were generated to determine the mean, the median, the standard deviation as well as the minimum and the maximum with respect to each variable and are summarized in Table 1. Generating descriptive statistics helped to arrange and interpret data (Chattamvelli and Shanmugam, 2023). In Step 3, the authors conducted linear correlation and regression analyses.…”

Section: Assessed Variables and Project Performance Metricsmentioning

confidence: 99%

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Enhancing project success: the impact of sociotechnical integration on project and program management using earned value management systems

Aramali,

Gibson,

Sanboskani

et al. 2024

IJMPB

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PurposeEarned value management systems (EVMS), also called integrated project and program management systems, have been greatly examined in the literature, which has typically focused on their technical aspects rather than social. This study aims to hypothesize that improving both the technical maturity of EVMS and the social environment elements of EVMS applications together will significantly impact project performance outcomes. For the first time, empirical evidence supports a strong relationship between EVMS maturity and environment.Design/methodology/approachData was collected from 35 projects through four workshops, attended by 31 industry practitioners with an average of 19 years of EVMS experience. These experts, representing 23 organizations, provided over 2,800 data points on sociotechnical integration and performance outcomes, covering projects totaling $21.8 billion. Statistical analyses were performed to derive findings on the impact of technical maturity and social environment on project success.FindingsThe results show statistically significant differences in cost growth, compliance, meeting project objectives and business drivers and customer satisfaction, between projects with high EVMS maturity and environment and projects with poor EVMS maturity and environment. Moreover, the technical and social dimensions were found to be significantly correlated.Originality/valueKey contributions include a novel and tested performance-driven framework to support integrated project management using EVMS. The adoption of this detailed assessment framework by government and industry is driving a paradigm shift in project management of some of the largest and most complex projects in the U.S.; specifically transitioning from a project assessment based upon a binary approach for EVMS technical maturity (i.e. compliant/noncompliant to standards) to a wide-ranging scale (i.e. 0–1,000) across two dimensions.

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Section: Assessed Variables and Project Performance Metricsmentioning

confidence: 99%

“…In Step 5, descriptive statistics (mean, median, standard deviation, minimum and maximum) were generated for each of the four zones: red, orange, yellow and green (Chattamvelli and Shanmugam, 2023). Their analysis helped assess the project performance within each zone.…”

Section: Assessed Variables and Project Performance Metricsmentioning

confidence: 99%

Enhancing project success: the impact of sociotechnical integration on project and program management using earned value management systems

Aramali,

Gibson,

Sanboskani

et al. 2024

IJMPB

View full text Add to dashboard Cite

show abstract

“…We used the gini function in the R package DescTools v0.99.48 51 to determine the Gini index and 95% CI for mosquito biting bias based on each person's mean nightly bites, calculated as the cumulative number of bloodmeals matched to an individual divided by the total personnights in the study. The denominator (person-nights) includes only nights where mosquitoes were collected for immediate processing and the person was physically present in the household at the monthly survey immediately preceding or immediately following the night of collection (IQR: 7-14 days).…”

Section: Calculating Biting Biasmentioning

confidence: 99%

Plasmodium falciparum infection in humans and mosquitoes influence natural Anopheline biting behavior and transmission

Markwalter,

Lapp,

Abel

et al. 2024

Nat Commun

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The human infectious reservoir of Plasmodium falciparum is governed by transmission efficiency during vector-human contact and mosquito biting preferences. Understanding biting bias in a natural setting can help target interventions to interrupt transmission. In a 15-month cohort in western Kenya, we detected P. falciparum in indoor-resting Anopheles and human blood samples by qPCR and matched mosquito bloodmeals to cohort participants using short-tandem repeat genotyping. Using risk factor analyses and discrete choice models, we assessed mosquito biting behavior with respect to parasite transmission. Biting was highly unequal; 20% of people received 86% of bites. Biting rates were higher on males (biting rate ratio (BRR): 1.68; CI: 1.28–2.19), children 5–15 years (BRR: 1.49; CI: 1.13–1.98), and P. falciparum-infected individuals (BRR: 1.25; CI: 1.01–1.55). In aggregate, P. falciparum-infected school-age (5–15 years) boys accounted for 50% of bites potentially leading to onward transmission and had an entomological inoculation rate 6.4x higher than any other group. Additionally, infectious mosquitoes were nearly 3x more likely than non-infectious mosquitoes to bite P. falciparum-infected individuals (relative risk ratio 2.76, 95% CI 1.65–4.61). Thus, persistent P. falciparum transmission was characterized by disproportionate onward transmission from school-age boys and by the preference of infected mosquitoes to feed upon infected people.

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“…The qualitative analysis (Figure 2a) focused on thermal maps and histograms to graphically draw considerations on leaves behavior. It addressed different stages: the mean signal of ROI1 and ROI3 was normalized by the mean value ROI2 signal (R conditions); then the histogram of normalized matrices ROI1 and ROI3 was plotted; and after that, levels and frequencies of histogram were considered to evaluate the third momentum index (M 3 ) [9] following Equation (1). M 3 was an index that evaluated the skewness of thermal data distribution in each ROI and allowed to discriminate healthy from unhealthy leaves.…”

Section: Thermographic Setup and Data Analysismentioning

confidence: 99%

Assessing Climatic Stress in Vegetation: A Statistical‐Driven Approach to Predict Thermal “Degradation” Parameters via Passive Thermography

Ogut,

De Finis,

Tzortzi

et al. 2024

Macromolecular Symposia

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Vertical green structures (VGS) increase green spaces in compact urban areas offering benefits as an improved thermal insulation of the building envelope, and a decrease of the Urban Heat Island effect. Efficient species selection and quantitative evaluation of species’ reaction to hygro‐thermal variations are needed to optimize VGS benefits. This study proposes a novel methodology to discriminate the thermal behavior between healthy and unhealthy leaves under hygrothermal stress. To this aim, the surface temperature on region of interests (ROIs) of target leaves of the Heuchera villosa species is measured using passive thermography (pIRT). Besides, an additively manufactured leaf is used as a reference shape for assessing geometrical changes between healthy and unhealthy leaves. The thermal data analysis procedure extracts a vegetative health index based on the third‐order centered momentum of thermal data distribution, encompassing temperature anomalies, and geometric variations. The study demonstrates high potential to be further extended to a data‐driven approach to automatically and non‐destructively detect the healthy and unhealthy status of vegetation in VGS by pIRT. The findings contribute to advancing understanding of vegetative responses to environmental stressors and provide insights for effective monitoring and management of VGS.

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Descriptive Statistics

Cited by 4 publications

References 9 publications

Enhancing project success: the impact of sociotechnical integration on project and program management using earned value management systems

Enhancing project success: the impact of sociotechnical integration on project and program management using earned value management systems

Plasmodium falciparum infection in humans and mosquitoes influence natural Anopheline biting behavior and transmission

Assessing Climatic Stress in Vegetation: A Statistical‐Driven Approach to Predict Thermal “Degradation” Parameters via Passive Thermography

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