Actual ISIN-wise yield and price should be reported for each Strips bond, ensuring there is no gap between trade reporting on the NDS and the actual traded levels. As a result, the valuation approach ...

Bootstrapping is the practice of starting and growing a business without relying on external financing methods like loans or venture capital. Instead, entrepreneurs leverage their own personal savings ...

Discrete software reliability measurement has a proper characteristic for describing a software reliability growth process which depends on a unit of the software fault-detection period, such as the ...

Abstract: Through-focus scanning optical microscopy (TSOM) is an optical nondestructive measurement and inspection technique for nanoscale measurement. Uncertainty estimation is fundamental for ...

Abstract: Clustering algorithms are widely used in the knowledge discovery domain, but concerns and questions about the validity of the results must be considered. The datasets commonly used for ...

We discuss the following problem: given a random sample $\mathbf{X} = (X_1, X_2, \cdots, X_n)$ from an unknown probability distribution $F$, estimate the sampling ...

The bootstrap program in theoretical physics arose out of attempts to determine the structure of conformal field theories in a constraint-oriented, non-Hamiltonian fashion. In recent years, bootstrap ...

When calling the "getSelections" method no items are returned when table is paged or filtered (it only returns what is on the first page). Worse, when removing the filter, it loses all selected rows ...

If the ‘That verification method isn’t working right now‘ message appears due to traffic issues, it should automatically be resolved after a certain period of time. In other cases, use these fixes: ...

Developing and evaluating novel diagnostic assays are crucial components of contemporary diagnostic research. The receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC) ...

Introducing BOSS (Bootstrapping your own SkillS): a groundbreaking approach that leverages large language models to autonomously build a versatile skill library for tackling intricate tasks with ...