Results 11 to 20 of about 525,400 (298)
Spbsampling: An R Package for Spatially Balanced Sampling
The basic idea underpinning the theory of spatially balanced sampling is that units closer to each other provide less information about a target of inference than units farther apart.
Francesco Pantalone +2 more
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Sampling plant diversity and rarity at landscape scales: importance of sampling time in species detectability. [PDF]
Documenting and estimating species richness at regional or landscape scales has been a major emphasis for conservation efforts, as well as for the development and testing of evolutionary and ecological theory.
Jian Zhang +5 more
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Public accountant professional skepticism behavior in improving audit quality: A path analysis
This study investigates the relationship between behavioral observation responses, namely accountability, due professional care, and professional skepticism, and their collective influence on audit quality within public accounting firms.
M. F. Arrozi Adhikara +1 more
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The Cost of Excessive Smartphone Use: Guilt Cross the Work-Family Domains
Empirical evidence has accumulated showing that smartphone use at work has the double-edged sword impacts on work-related attitudes and behaviors, but little is known about how its effects transmit and spill over from the workplace to the family domain ...
Yujing Liu, Jing Du, Yuan Li
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Voting and Social Media-Based Political Participation
Does online political involvement reinforce or compensate participatory deficiencies at the polls? Extant survey evidence portrays online participation as a weapon of the strong, wielded by a highly politically involved, white, and affluent subset of ...
Sascha Göbel
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On a Class of Almost Unbiased Ratio Type Estimators
In sample surveys ratio estimator has found extensive applications to obtain more precise estimators of the population ratio, population mean, and population total of the study variable in the presence of auxiliary information, when the study variable is
A.K.P.C. Swain, Priyaranjan Dash
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The main purpose of this study is to classify the 20 biases into different groups (factors) and estimate each of them according to the variables of rational, experiential-affective, risky investment intention, and financial literacy.
Selim Aren, Hatice Nayman Hamamcı
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Designing a Customer Behavior Model for Online Social Media Using Big Databases [PDF]
Introduction: Customers' use of technology-based intelligent information can put forth some key decision variables as a good starting point for investor decisions in financial and banking markets.
Esmaeil Malekakhlagh +2 more
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Center sampling: a strategy for elusive population surveys
Center sampling is useful in finite population surveys when exhaustive lists of all units are not available and the target population is naturally clustered into a number of overlapping sites spread over an area of interest such as, for instance, the ...
Fulvia Mecatti, Sonia Migliorati
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Designing Brand Intelligence Model in Tourism Startups: a Mixed Approach [PDF]
In today's competitive environment the use of intelligence in various aspects of business, including branding, allows organizations to achieve a high competitive position.
Maryam Varmaghani +3 more
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