Improving data retention and home range estimates by data-driven screening
نویسندگان
چکیده
منابع مشابه
modeling loss data by phase-type distribution
بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...
Data driven estimates for mixtures
Data with asymmetric heavy tails can arise from mixture of data from multiple populations or processes. We propose a computer intensive procedure to fit by quasi-maximum likelihood a mixture model to a robustly standardized data set. The robust standardization of the data set results in well defined tails which are modeled using extreme value theory. The data are assumed to be a mixture of a no...
متن کاملEnhancing Learning from Imbalanced Classes via Data Preprocessing: A Data-Driven Application in Metabolomics Data Mining
This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public dataset consisting of 1H-NMR metabolite profile. This dataset suffers from the problem of imbalanced classes...
متن کاملIncreasing Operating Room Profits and Decreasing Wait Lists by Use of a Data-Driven Overbooking Model
Background and Objectives: Operating rooms (ORs) are precious resources in hospitals, as they constitute more than 40% of the hospital revenues.As such, surgical cancellations are very costly to hospitals. Same-day surgery cancellations or no-shows were found to be the main contributing factor to underutilization of operating rooms (ORs) in a public-sector hospital despite the ...
متن کاملImproving Estimates of Abundance by Aggregating Sparse Capture-Recapture Data
Inferences about abundance often are based on unadjusted counts of individuals observed, in part, because of the large amount of data required to generate reliable estimates of abundance. Where capture-recapture data are sparse, aggregating data across multiple sample elements by pooling species, locations, and sampling periods increases the information available for modeling detection probabil...
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: Marine Ecology Progress Series
سال: 2012
ISSN: 0171-8630,1616-1599
DOI: 10.3354/meps09747