Interpretation of Electrode Responses with the Help of a Multivariate Technique

1993 ◽  
Vol 140 (9) ◽  
pp. 2519-2525 ◽  
Author(s):  
Bertil I. Paålsson ◽  
Eva Öberg
Keyword(s):  
Multivariate Technique

Contribution a la rationalisation du reseau qualite de l’eau de la Baie James

1977 ◽  
Vol 12 (1) ◽  
pp. 51-76
Author(s):  
B. Bobée ◽  
D. Cluis ◽  
A. Tessier
Keyword(s):  
Correspondence Analysis ◽  
Major Ions ◽  
Base Station ◽  
Base Stations ◽  
James Bay ◽  
Mean Values ◽  
Multivariate Technique ◽  
Qualité De L’Eau ◽  
Concentration Changes ◽  
The Relationship

Abstract A water quality sampling programme for James Bay territory established in a previous study has been carried out for the Department of Natural Resources of the Province of Quebec. The network is composed of 5 base-stations, sampled every fortnight to determine the variability with time of the parameters and 16 satellite-stations, sampled five times yearly with a view to determine the spatial variability. The data (major ions and certain nutrients) gathered during the 1974–1975 field survey are subjected to an analysis by a multivariate technique (correspondence analysis) in addition to certain classical statistical methods. The latter have shown that the mean values obtained at satellite stations were representative of the annual mean. In addition, the results permit the determination for a given parameter, of the relationship between stations and, for a given station, the relationship between parameters. In both cases, the formulation of predictive equations was attempted. An overall evaluation of the data by correspondence analysis has permitted: - a more precise definition of the qualitative behaviour of the different sub-basins of the James Bay territory and characterization of their waters;- a proof of the existence of gradual concentration changes in both East-West and North-South directions. Within the original objectives of the network, the results of the study have led to the following recommendations: - to continue synchronised samplings;- to transform a base station with a low information content into a satellite station;- to create a new base station in the eastern part of the territory.

Behavioural, Socio-economic Factors, Financial Literacy and Investment Decisions: Are Men More Rational and Women More Emotional?

2021 ◽  
pp. 001946622098702
Author(s):  
Swati Prasad ◽  
Ravi Kiran ◽  
Rakesh Kumar Sharma
Keyword(s):  
Financial Literacy ◽  
Structural Equation ◽  
Investment Decisions ◽  
Jel Classification ◽  
Economic Factors ◽  
Fund Managers ◽  
Multivariate Technique ◽  
Retail Investors ◽  
Behavioural Factors ◽  
Socio Economic Factors

This study covers the gender-wise analysis of how behavioural factors and socio-economic factors along with the level of financial literacy influence investment decisions of Indian retail investors. Equally pertinent is to understand that will it have a different influence and bearing on males and females. Multivariate technique partial least squares-structural equation modelling (PLS-SEM) has been applied to develop the model and analyse the results. The study used a structured questionnaire for collecting data from retail investors. The findings of PLS-SEM show that in both genders, behavioural factors, socio-economic factors and financial literacy factors significantly affect investment decisions. However, the findings demonstrate that for women investors, the model is more effective. This study may be useful for prospective fund managers as, in many earlier studies, women are considered to be risk aversive. The results demonstrate that there is a need to target women, and the scenario today is not similar to the pre-existing ones. JEL Classification: G110, G4

Size matters: locality of residence and media use in later life

2021 ◽  
pp. 1-20
Author(s):  
Dennis Rosenberg ◽  
Galit Nimrod
Keyword(s):  
New Media ◽  
Social Stratification ◽  
Media Use ◽  
Academic Research ◽  
Later Life ◽  
Chi Square ◽  
Large Cities ◽  
Multivariate Technique ◽  
Spatial Inequalities ◽  
Spatial Differences

Abstract Various factors determine the use of media in later life. Nevertheless, spatial inequalities among older media users have been accorded little attention in academic research. This study aimed to explore differences in variety (number) and intensity (duration) of both traditional and new media use among older adults residing in various types of localities. Data were obtained from the second wave of the ACT (Ageing + Communication + Technology) cross-national survey, comprising 7,927 internet users aged 60 and over from seven countries. The statistical analyses used in the study were chi-square and analysis of variance tests, and linear regression as a multivariate technique. The results indicated that spatial differences concern variety of media use to a greater extent than its intensity, especially with regard to use of traditional media via new devices. Overall, residents of large cities exhibited greater variety and intensity of media use than did their counterparts from smaller localities, especially rural ones. These findings supported the social stratification hypothesis – according to which individuals from more-privileged social backgrounds have better media literacy, use media to a greater extent and benefit from its use more than people from disadvantaged groups. The findings should be considered by practitioners and policy makers.

Exploring the multivariate technique in the discrimination of Coffea arabica L. cultivars regarding the production and quality of grains under the effect of water management

Euphytica ◽  
2021 ◽  
Vol 217 (6) ◽  
Author(s):  
Daniel Soares Ferreira ◽  
Guilherme Bravin Canal ◽  
Moyses Nascimento ◽  
Ana Carolina Campana Nascimento ◽  
João Marcos Soares Ferreira ◽  
...  
Keyword(s):  
Water Management ◽  
Coffea Arabica ◽  
Multivariate Technique ◽  
Effect Of Water ◽  
Coffea Arabica L

Validation of forest height–age models

1996 ◽  
Vol 26 (5) ◽  
pp. 810-818 ◽  
Author(s):  
Gordon D. Nigh ◽  
Vera Sit
Keyword(s):  
Forest Management ◽  
Confidence Intervals ◽  
Error Variance ◽  
Site Index ◽  
Random Coefficients ◽  
Multivariate Technique ◽  
Forest Height ◽  
Preliminary Validation ◽  
Age Model ◽  
Validation Procedure

Forest height–age models are used in forest management to estimate height and (or) site index. It is useful to know the bias and precision of these models in order to evaluate their applicability. Methods are available for validating the models; however, many problems exist with the methods because of a lack of independence in the data and nonconstant error variance across a range of ages. A validation procedure is presented that overcomes these problems by using a multivariate technique (random coefficients) to model the structure of the errors associated with the models. Confidence intervals for bias and precision can then be constructed based on the error structure. This method of validation was demonstrated on the white spruce (Piceaglauca (Moench) Voss) height–age model for British Columbia, Canada. The preliminary validation showed the model to be unbiased for estimating both height and site index; however, its precision was poor.

Comparison of rapid liquid scintillation multivariate technique with conventional techniques for regular surveillance of water samples

2014 ◽  
Vol 303 (1) ◽  
pp. 577-581
Author(s):  
Priyanka J. Reddy ◽  
Vandana Pulhani ◽  
S. P. D. Bhade ◽  
R. V. Kolekar ◽  
Rajvir Singh ◽  
...  
Keyword(s):  
Water Samples ◽  
Liquid Scintillation ◽  
Multivariate Technique

A Multivariate Technique for Evaluating the Statistical Homogeneity of Jointed Rock Masses

2014 ◽  
Vol 48 (5) ◽  
pp. 1821-1831 ◽  
Author(s):  
Yanyan Li ◽  
Qing Wang ◽  
Jianping Chen ◽  
Shengyuan Song ◽  
Yunkai Ruan ◽  
...  
Keyword(s):  
Jointed Rock ◽  
Rock Masses ◽  
Jointed Rock Masses ◽  
Multivariate Technique ◽  
Statistical Homogeneity

scholarly journals General recipe to form input space for deep learning analysis of HEP scattering processes

2020 ◽  
Vol 35 (21) ◽  
pp. 2050119
Author(s):  
Lev Dudko ◽  
Georgi Vorotnikov ◽  
Petr Volkov ◽  
Maxim Perfilov ◽  
Andrei Chernoded ◽  
...  
Keyword(s):  
Deep Learning ◽  
Multivariate Data Analysis ◽  
Hard Scattering ◽  
Input Space ◽  
Low Level ◽  
Multivariate Technique ◽  
Deep Learning Neural Network ◽  
Learning Analysis ◽  
Sophisticated Analysis ◽  
Kinematic Properties

Deep learning neural network (DNN) technique is one of the most efficient and general approach of multivariate data analysis of the collider experiments. The important step of the analysis is the optimization of the input space for multivariate technique. In the paper we propose the general recipe how to form the set of low-level observables sensitive to the differences in hard scattering processes at the colliders. It is shown in the paper that without any sophisticated analysis of the kinematic properties one can achieve close to optimal performance of DNN with the proposed general set of low-level observables.

scholarly journals PENGARUH E-WOM DI MEDIA SOSIAL YOUTUBE TERHADAP PURCHASE INTENTION (MINAT BELI) PADA BRAND SMARTPHONE SAMSUNG

2021 ◽  
pp. 737
Author(s):  
Ketut Dewi Kurnia Sari ◽  
Osa Omar Sharif
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Purchase Intention ◽  
Structural Equation ◽  
Sampling Technique ◽  
Brand Attitude ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Multivariate Technique ◽  
Analysis Technique

This study aims to determine how the influence of the Electronic Word of Mouth (eWOM) on social media YouTube on Purchase Intention on Samsung smartphones in Bandung with the presence of a mediator from Brand Attitude. The research method used is a quantitative method with descriptive research objectives, the type of research is causal, the technique used in this study is non-probability sampling, data collection methods with cross sectional. In this study, the population used in this study were smartphone users in Bandung. The population in this study were smartphone users in Bandung who used social media Youtube. The sampling technique used the Cochran formula so that a minimum sample size of 385 respondents was determined and in the study the valid respondents were 400 respondents. The data analysis technique is a multivariate technique using the Structural Equation Modeling (SEM) method. For data analysis using the AMOS 24 application. The findings of this study indicate that there is no effect of eWOM Samsung smartphones on Purchase Intention and the influence of eWOM on the Brand Attitude of Samsung brand smartphones on Youtube social media

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