HAPPINESS SCORE IDENTIFICATION: A REGRESSION APPROACH
نویسندگان
چکیده
منابع مشابه
13 A Construal Approach to Increasing Happiness
Seeking ever-greater happiness-or what researchers refer to as "subjective well-being" (SWB; Diener, 1984; Diener, Suh, Lucas, & Smith, 1999)-is an important goal for people in almost every nation (Diener, 2000). Indeed, ever since the pursuit of happiness was immortalized in the Declaration of Independence as an inalienable right for all citizens, it has become ingrained in U.S. culture. Yet, ...
متن کاملA Corpus-based Approach to Finding Happiness
What are the sources of happiness and sadness in everyday life? In this paper, we employ ‘linguistic ethnography’ to seek out where happiness lies in our everyday lives by considering a corpus of blogposts from the LiveJournal community annotated with happy and sad moods. By analyzing this corpus, we derive lists of happy and sad words and phrases annotated by their ‘happiness factor.’ Various ...
متن کاملA score regression approach to assess calibration of continuous probabilistic predictions.
Calibration, the statistical consistency of forecast distributions and the observations, is a central requirement for probabilistic predictions. Calibration of continuous forecasts is typically assessed using the probability integral transform histogram. In this article, we propose significance tests based on scoring rules to assess calibration of continuous predictive distributions. For an ide...
متن کاملHousehold electricity demand estimation: a regression discontinuity design approach
Estimating electricity demand elasticity in different sectors has been an essential research topic. Considering the fact that pricing electricity in various countries does not follow the same rules, many econometrics methods have been developed to estimate this crucial parameter. Electricity demand elasticity is defined as the percent change in electricity consumption in response to one percent...
متن کاملA NEW APPROACH FOR PARAMETER ESTIMATION IN FUZZY LOGISTIC REGRESSION
Logistic regression analysis is used to model categorical dependent variable. It is usually used in social sciences and clinical research. Human thoughts and disease diagnosis in clinical research contain vagueness. This situation leads researchers to combine fuzzy set and statistical theories. Fuzzy logistic regression analysis is one of the outcomes of this combination and it is used in situa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: E3S Web of Conferences
سال: 2020
ISSN: 2267-1242
DOI: 10.1051/e3sconf/202021801051