Interpretation of Confidence Interval Facing the Conflict
نویسندگان
چکیده
منابع مشابه
Confidence Interval for Solutions of the Black-Scholes Model
The forecast is very complex in financial markets. The reasons for this are the fluctuation of financial data, Such as Stock index data over time. The determining a model for forecasting fluctuations, can play a significant role in investors deci-sion making in financial markets. In the present paper, the Black Scholes model in the prediction of stock on year later value, on using data from mel...
متن کاملRedefining the confidence interval.
The confidence interval, its close cousin the p-value, and other statistical summaries of data are widely used in science, including the occupational and environmental health sciences, but they are almost as widely misused. My purpose here is to review some basic matters that should be covered in every introductory statistics course, but are generally omitted. More specifically, some of the man...
متن کاملCauses of Confidence in Conflict
In a simple model of conflict, two agents fight over a fixed prize, and how hard they fight depends on what they believe about their abilities. To this model I add “preagents,” representing parents, leaders, or natural selection, who choose each agent’s confidence in his ability. Depending on the reason for such confidence, I find five different patterns in how confidence varies with ability. A...
متن کاملConfidence & Credible Interval Estimates
Point estimates of unknown parameters θ governing the distribution of an observed quantity X are unsatisfying if they come with no measure of accuracy or precision. One approach to giving such a measure is to offer interval estimates for θ, rather than point estimates; upon observing X, we construct an interval [a, b] which is very likely to contain θ, and which is very short. The approach to e...
متن کاملConfidence Interval Distributions 1
Methodological recommendations strongly emphasize the routine reporting of effect sizes and associated confidence intervals to express the uncertainty around the primary outcomes. Confidence intervals (CI) for unstandardized effects are easy to construct; However, CI’s for standardized measures such as the standardized mean difference (i.e., Cohen’s d), the Pearson product-moment correlation, p...
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: Universal Journal of Educational Research
سال: 2016
ISSN: 2332-3205,2332-3213
DOI: 10.13189/ujer.2016.041201