Evaluating the Relationship Between Well Parameters and Production Using Multivariate Statistical Models: A Middle Bakken and Three Forks Case History

2016 ◽  
Author(s):  
E. Lolon ◽  
K. Hamidieh ◽  
L. Weijers ◽  
M. Mayerhofer ◽  
H. Melcher ◽  
...  
Keyword(s):  
Case History ◽  
Statistical Models ◽  
Multivariate Statistical ◽  
Three Forks ◽  
The Relationship

Engagement Through the Diaspora Channel

2017 ◽  
Author(s):  
Michael S. Danielson
Keyword(s):  
Civil Society ◽  
Statistical Models ◽  
State Level ◽  
The State ◽  
Multivariate Statistical ◽  
Political Factors ◽  
Data Set ◽  
Level Data ◽  
Municipal Level

The first empirical task is to identify the characteristics of municipalities which US-based migrants have come together to support financially. Using a nationwide, municipal-level data set compiled by the author, the chapter estimates several multivariate statistical models to compare municipalities that did not benefit from the 3x1 Program for Migrants with those that did, and seeks to explain variation in the number and value of 3x1 projects. The analysis shows that migrants are more likely to contribute where migrant civil society has become more deeply institutionalized at the state level and in places with longer histories as migrant-sending places. Furthermore, the results suggest that political factors are at play, as projects have disproportionately benefited states and municipalities where the PAN had a stronger presence, with fewer occurring elsewhere.

scholarly journals Does Revitalizing the Center of Mid-Sized French Cities Reduce GHG Emissions from Commuting?

2021 ◽  
Vol 13 (4) ◽  
pp. 1851
Author(s):  
Alexis Poulhès ◽  
Angèle Brachet
Keyword(s):  
Land Use Planning ◽  
Statistical Models ◽  
Total Population ◽  
Ghg Emissions ◽  
Low Carbon ◽  
Trip Distance ◽  
Working People ◽  
Shrinking City ◽  
The Relationship ◽  
Positive Effect

Mid-sized cities are usually considered in the literature to be shrinking cities. Some policies promote right-sizing and others promote revitalization. The relationship between land-use planning and mobility having been established, the present research issue is focused on whether a policy of revitalizing the centers of mid-sized cities is favorable to low-carbon mobility. Our study investigates commuting trips through two indicators: commuting trip distance and car modal share. The increase in total population, the increase in the number of jobs per resident, the decrease in the unemployment rate, the increase in the rate of executives, the increase in the rate of working people in the population and the decrease in the residential vacancy rate all come from the censuses of 2006 and 2016. Statistical models based on individuals in 113 mid-sized cities, in which sociodemographic variables are introduced, show that at the level of agglomerations, no indicator has a simultaneously positive effect in the center and in the urban periphery. No indicator is entirely positive or negative on GHG emissions from commuting trips. While the increase in GHG emissions from commuting trips between 2006 and 2016 is significant in mid-sized cities (18%), a shift toward shrinking city centers is insufficient to change this trajectory.

scholarly journals Surface Sediment Diatom Assemblages Response to Water Environment in Dongping Lake, North China

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 339
Author(s):  
Shuangshuang Liu ◽  
Min Yao ◽  
Shiyue Chen ◽  
Xingzhong Yuan
Keyword(s):  
Environmental Factors ◽  
Water Environment ◽  
Oxygen Demand ◽  
Diatom Assemblages ◽  
Multivariate Statistical ◽  
Dongping Lake ◽  
Autumn And Winter ◽  
Response To Water ◽  
The Relationship ◽  
Significant Factors

The relationship between the diatom taxa preserved in surface lake sediments and environmental variables in Dongping Lake was explored using multivariate statistical methods. The statistical analysis showed that the lake was eutrophicated in all seasons. Transparency, chlorophyll a (Chla) and total phosphorus (TP) were the dominant environmental factors in spring and summer, and NH4+-N and chemical oxygen demand (COD) were the dominant environmental factors in autumn and winter. Sixteen genera and 43 species of diatom were found in the surface sediments, and the dominant diatom genera were Aulacoseira, Ulnaria, Cyclotella, Navicula and Fragilaria. A redundancy analysis (RDA) and Monte Carlo permutation 20 test revealed that COD, pH, TP, conductivity and transparency were significant factors influencing diatom assemblage change, meaning that the distribution of the diatom assemblages were mostly influenced by nutrient composition, light intensity and ion concentrations.

DECISION MAKING BY VARIABLE CONTRIBUTION IN DISCRIMINANT, LOGIT, AND REGRESSION ANALYSES

2004 ◽  
Vol 03 (02) ◽  
pp. 265-279 ◽  
Author(s):  
STAN LIPOVETSKY ◽  
MICHAEL CONKLIN
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Statistical Models ◽  
Regression Analyses ◽  
Discriminant Functions ◽  
Multivariate Statistical ◽  
Linear Discriminant ◽  
Variable Contribution ◽  
Linear Aggregate

Comparative contribution of predictors in multivariate statistical models is widely used for decision making on the importance of the variables for the aims of analysis and prediction. However, the analysis can be made difficult because of the predictors' multicollinearity that distorts estimates for coefficients in the linear aggregate. To solve the problem of the robust evaluation of the predictors' contribution, we apply the Shapley Value regression analysis that provides consistent results in the presence of multicollinearity both for regression and discriminant functions. We also show how the linear discriminant function can be constructed as a multiple regression, and how the logistic regression can be approximated by linear regression that helps to obtain the variables contribution in the linear aggregate.

scholarly journals Cats in the forest: predicting habitat adaptations from humerus morphometry in extant and fossil Felidae (Carnivora)

Paleobiology ◽  
10.1666/12001 ◽  
2013 ◽  
Vol 39 (3) ◽  
pp. 323-344 ◽  
Author(s):  
Carlo Meloro ◽  
Sarah Elton ◽  
Julien Louys ◽  
Laura C. Bishop ◽  
Peter Ditchfield
Keyword(s):  
Morphological Variability ◽  
Olduvai Gorge ◽  
Environmental Predictors ◽  
Linear Measurements ◽  
Multivariate Statistical ◽  
Linear Discriminant ◽  
Related Group ◽  
Discriminant Analyses ◽  
The Stability ◽  
The Relationship

Mammalian carnivores are rarely incorporated in paleoenvironmental reconstructions, largely because of their rarity within the fossil record. However, multivariate statistical modeling can be successfully used to quantify specific anatomical features as environmental predictors. Here we explore morphological variability of the humerus in a closely related group of predators (Felidae) to investigate the relationship between morphometric descriptors and habitat categories. We analyze linear measurements of the humerus in three different morphometric combinations (log-transformed, size-free, and ratio), and explore four distinct ways of categorizing habitat adaptations. Open, Mixed, and Closed categories are defined according to criteria based on traditional descriptions of species, distributions, and biome occupancy. Extensive exploratory work is presented using linear discriminant analyses and several fossils are included to provide paleoecological reconstructions.We found no significant differences in the predictive power of distinct morphometric descriptors or habitat criteria, although sample splitting into small and large cat guilds greatly improves the stability of the models. Significant insights emerge for three long-canine cats:Smilodon populator,Paramachairodus orientalis, andDinofelissp. from Olduvai Gorge (East Africa).S. populatorandP. orientalisare both predicted to have been closed-habitat adapted taxa. The false “sabertooth”Dinofelissp. from Olduvai Gorge is predicted to be adapted to mixed habitat. The application of felid humerus ecomorphology to the carnivoran record of Olduvai Gorge shows that the older stratigraphic levels (Bed I, 1.99–1.79 Ma) included a broader range of environments than Beds II or V, where there is an abundance of cats adapted to open environments.

scholarly journals Hedging Activities Information and Risk Management Committee Effectiveness: Malaysian evidence

2018 ◽  
Author(s):  
Azrul Bin Abdullah ◽  
Ku Nor Izah Ku Ismail
Keyword(s):  
Risk Management ◽  
Corporate Governance ◽  
Significant Influence ◽  
Statistical Models ◽  
Voluntary Disclosure ◽  
Annual Reports ◽  
Management Committee ◽  
Corporate Governance Mechanisms ◽  
The Relationship ◽  
Risk Management Committee

This study examines the extent of information about hedging activities disclosures within the annual reports of Main Market companies listed on Bursa Malaysia. The extent of hedging activities disclosures is captured through a 32-item-template, which consists of a mandatory and voluntary disclosure scores. The results of this study indicate that the extent of information on hedging activities disclosure is still insufficient among the sampled companies even though the disclosure scored is quite high. This study also examines the relationship between the existence of risk management committee (RMC), its characteristics and the extent of information on hedging activities disclosure in two separate statistical models. The regression results imply that the existence of RMC is positive but does not significantly influence the extent of information on hedging activities disclosure. However its characteristics (i.e. RMC independence and RMC meeting) have a significant influence. The findings may provide some meaningful insights to regulators, policymakers and researchers, towards the establishment of RMC as a part of the internal corporate governance mechanisms. In addition to its existence, the effectiveness of RMC also needs to be emphasised.

scholarly journals HUBUNGAN TINGKAT PENGETAHUAN IBU TENTANG HIPERBILIRUBIN DENGAN SIKAP DAN PERILAKU MENJEMUR BAYI DI KELURAHAN SANGKRAH

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Rahayu Setyaningsih ◽  
Ersa Trianingsih
Keyword(s):  
Pearson Correlation ◽  
Statistical Test ◽  
Bivariate Analysis ◽  
Multivariate Statistical ◽  
Spearman Rank ◽  
Level Of Knowledge ◽  
And Behavior ◽  
Attitudes And Behavior ◽  
The Village ◽  
The Relationship

AbstractInterviews with mother who have babies aged 0-6 months in the Village Sangkrah, founddifferent maternal understanding of hiperbilirubin, some of mothers not understand abouthiperbilirubin, its causes and how to prevent it. The attitude of the mothers also variessome wants sunning their babies every morning whereas plenty were reluctant becausethey do not know of its benefits. The purpose of the study: to determine the correlation ofmother's level of knowledge about hiperbilirubin with attitudes and behavior sunning babyThe subjects were all mothers with babies 0-6 months in the Village Sangkrah as manyas 45 people. This research method of bivariate analysis using Spearman Rank,multivariate analysis with Pearson Correlation to find the correlation of three variables: thelevel of knowledge of mothers about hiperbilirubin with attitudes and behavior in infantssunning.The results of the bivariate analysis using Spearman Rank with α = 5% (0.05) wasobtained p <0.001 to p <0.05, which means that the hypothesis is accepted, there is acorrelation the level of knowledge about hiperbilirubin with the attitudes and behaviorsunning baby in village Sangkrah. Multivariate statistical test using Pearson Correlation α= 5% (0.05) was obtained p <0.001 for the correlation between knowledge with attitude,either correlation knowledge with behavioral or correlation between attitudes withbehavioral earn p <0.05. The correlation coefficient ranged from 0.541 to 0.583 whichshows the strength of the relationship in the medium category.Keywords: Knowledge, Attitude, Behavior, Hiperbilirubin, Sunning Baby

Contemporary Change: Liberalization and Epistemic Modernization

2016 ◽  
Author(s):  
David J. Hess
Keyword(s):  
Case History ◽  
Regulatory Policy ◽  
Scientific Field ◽  
Industrial Change ◽  
Research Needs ◽  
Sociological Perspective ◽  
Reflexive Modernization ◽  
Double Movement ◽  
The Relationship ◽  
Opening Up

The chapter discusses the problem of developing a historical sociological perspective on science, technology, and social movements during the period of the 1980s through 2015. It argues in favor of a historical dynamic based on liberalization and reflexive modernization that is similar to Polanyi’s double movement. The dynamic is formulated specifically for technological and industrial change based on the relationship between the liberalization of regulatory policy and the epistemic modernization of policy and knowledge production. Epistemic modernization involves the opening up of the research agendas of the scientific field to the concerns of undone science and the research needs of industrial transition movements and counterpublics. The theoretical framework is applied to a case history on the movement that supports greater access to and more research on cancer treatment based on complementary and alternative medicine. Both liberalization and epistemic modernization processes are documented for the movement.

Measuring Threat and Violence

2018 ◽  
pp. 43-56
Author(s):  
Jeffrey S. Kopstein ◽  
Jason Wittenberg
Keyword(s):  
Statistical Models ◽  
Census Data ◽  
Location Information ◽  
Ecological Inference ◽  
Multivariate Statistical ◽  
Original Dataset ◽  
Geographical Unit ◽  
Nationalist Parties ◽  
Electoral Data

This chapter describes our data and methods. Our analysis is based on an original dataset of census returns, electoral results, and pogrom location information. We gathered these data at the lowest geographical unit for which they could be merged, yielding observations for over 2,000 localities. We use census data on religion and electoral data on support for Jewish and non-Jewish nationalist parties to measure the degree of perceived political threat prior to the outbreak of war. We establish the characteristics of those localities where pogroms occurred using a variety of methods, including multivariate statistical models and ecological inference.

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