scispace - formally typeset
Search or ask a question

Why is relative frequency useful? 


Best insight from top research papers

Relative frequency is useful because it allows us to distinguish and learn different patterns or rules within a non-homogeneous input. It helps in identifying and separating linguistic rules in language learning, even when presented with mixed patterns or noise . In wireless networks, relative frequency differences are used to define hopping sequences, enabling receivers to determine the hopping sequence despite frequency errors . In the study of rogue waves, the relative frequency between two modes can induce different patterns and excitation of rogue waves . In probability theory, relative frequency distributions provide a method to obtain the distribution of observed values and understand their relationship to probability distributions . In data storage devices, grouping logical zones with similar writing frequencies reduces overhead for data rewriting and improves operation .

Answers from top 5 papers

More filters
Papers (5)Insight
Relative frequency is useful for reducing or eliminating the overhead for data rewriting in a data storage device, resulting in substantial reductions in far field interference (FTI) writes.
Book ChapterDOI
01 Jan 2020
Relative frequency is useful because it allows us to estimate the probability of an event based on observed data.
Relative frequency is useful because it can induce different patterns of rogue waves in nonlinear systems.
Relative frequency is useful because it helps listeners separate and learn different abstract linguistic rules from a non-homogeneous input.
Relative frequency is useful in a hopping spread-spectrum wireless network for IoT applications with unsynchronized local frequency references, allowing receivers to determine the hopping sequence despite frequency errors.

Related Questions

What papers on national relative income?5 answersPapers focusing on national relative income include studies by Clark, Frijters, and Shields. They discuss the impact of relative income on individuals' attitudes and well-being, highlighting the presence of relative income terms in utility functions. The research emphasizes how income evaluations relative to others or to oneself in the past can influence subjective well-being and economic behavior. Additionally, Singh and Kumar explore the applicability of the relative income hypothesis across various countries, finding that consumption behavior reflects standards of living more accurately than income levels. These papers collectively contribute to understanding the significance of relative income in shaping individual perceptions, behaviors, and societal comparisons.
What is the history and development of the Relative Importance Index?5 answersThe Relative Importance Index (RII) has been utilized in various fields to assess the significance of different factors. Its history and development can be traced through different applications. In the context of construction safety in Indonesia, RII was employed to identify key safety indicators and analyze their urgency levels. In the realm of machine learning, RII evolved into Relative Feature Importance (RFI) to provide a nuanced approach to feature relevance assessment. Psychological researchutilized RII through methods like Shapley value regression to determine the contribution of independent variables. Additionally, in highway development studies, RII was crucial in ranking criteria based on their importance. Moreover, in water supply projects in Sri Lanka, RII was used to evaluate project risks by quantifying the importance of various risk factors.
What is relative density?3 answersRelative density is a concept used to define the looseness and denseness of sand or sand-gravel soils. It was initially developed as an acceptance criterion for ground improvement, but research has shown that it is unreliable and should not be used for this purpose. In machine learning, relative density-ratio is a vital quantity that has received attention for outlier detection and dataset comparison. Existing methods for relative density-ratio estimation require many instances, but a meta-learning method has been proposed to estimate relative density-ratio from a few instances by using knowledge from related datasets. In data mining, a relative density-based clustering algorithm called IDDC has been developed to effectively identify clusters in datasets with uneven density distribution. Additionally, in support vector machines, the concept of relative density has been used to extract a subset containing support vectors, improving efficiency and accuracy. An anomaly detection algorithm based on relative density has also been developed, which uses the difference in density between data points and their neighbors to detect anomalies.
What is the relative Age effect?5 answersThe relative age effect (RAE) refers to the phenomenon where there is an overrepresentation of athletes born earlier in the calendar year in a specific sport. This effect has been observed in various sports, including basketball, swimming, football, and soccer. RAE has been found to influence youth sport development and can impact the selection and success of athletes. Studies have shown that RAE is prevalent in youth sports and can persist into senior competitive levels. The presence and magnitude of RAE can vary depending on factors such as the sport code, sex, and specific years under investigation. The mechanisms behind RAE are complex and multifactorial, involving factors such as competition depth, sport popularity, physicality, and socialization.
What is relative humidity?5 answersRelative humidity (RH) is a quantity used in various fields such as metrology, meteorology, climatology, and engineering. It is a measure of the amount of water vapor present in the air compared to the maximum amount that can be held at a given temperature. RH is typically expressed as a percentage and can vary between 0% (completely dry air) and 100% (saturated air). Different definitions of RH exist, but a new full-range definition based on the thermodynamics of activities has been proposed. This definition takes into account deviations from ideal-gas behavior and is valid under real-gas conditions. Virial approximations can be used to estimate small corrections to the ideal-gas equations.
Does prevalence affect relative risk?6 answers