نتایج جستجو برای: 0004 bias error and hec

تعداد نتایج: 16861142  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه بوعلی سینا - دانشکده علوم کشاورزی 1394

در دهه های اخیر محاسبه ی مقدار رواناب حاصل از بارش و شبیه سازی بارش- رواناب برای یک حوضه آبریز بدون آمار، به مسئله ای ضروری تبدیل شده است. برنامه ریزی در مناطق فاقد آمار مستلزم تهیه ی داده های با کیفیت مناسب می-باشد، یکی از روش های رفع این معضل، استفاده از، مدل های سطح زمین بزرگ مقیاس نظیر gldas است، که بر اساس مشاهدات ماهواره ای بروز شده اند، به دلیل ارائه پارامترهای هیدرولوژیکی از اهمیت بالای...

Navvabpour, Hamidreza, Nazlabadi, Marzieh,

In sample surveys, we always deal with two types of errors: Sampling error and non-sampling error. One of the most common non-sampling errors is nonresponse. This error happens when some sample units are not observed or viewed but they do not answer some of the questions. The complete prevention of this error is not possible, but it can be significantly reduced. The non-response causes bias and ...

1996

is if and 0 if. This high variance may help to explain why there is selection pressure for weak (machine learning) bias when the (machine learning) bias correctness is low. The reason that statisticians are interested in (statistical) bias and variance is that squared error is equal to the sum of squared (statistical) bias and variance. Therefore minimal (statistical) bias and minimal variance ...

1996

is if and 0 if. This high variance may help to explain why there is selection pressure for weak (machine learning) bias when the (machine learning) bias correctness is low. The reason that statisticians are interested in (statistical) bias and variance is that squared error is equal to the sum of squared (statistical) bias and variance. Therefore minimal (statistical) bias and minimal variance ...

1996

is if and 0 if. This high variance may help to explain why there is selection pressure for weak (machine learning) bias when the (machine learning) bias correctness is low. The reason that statisticians are interested in (statistical) bias and variance is that squared error is equal to the sum of squared (statistical) bias and variance. Therefore minimal (statistical) bias and minimal variance ...

2005
S. L. Scott

Scientific high-end computing (HEC) has become an important tool for scientists world-wide to understand problems, such as in nuclear fusion, human genomics and nanotechnology. Every year, new HEC systems emerge on the market with better performance and higher scale. With only very few exceptions, the overall availability of recently installed systems has been lower in comparison to the same de...

2012
Prithiviraj Fernando Peter Leimgruber Tharaka Prasad Jennifer Pastorini

Human-elephant conflict (HEC) threatens the survival of endangered Asian elephants (Elephas maximus). Translocating "problem-elephants" is an important HEC mitigation and elephant conservation strategy across elephant range, with hundreds translocated annually. In the first comprehensive assessment of elephant translocation, we monitored 16 translocations in Sri Lanka with GPS collars. All tran...

Journal: :Health progress 2006
Francis Bernt Peter Clark Josita Starrs Patricia Talone

The role, effectiveness, and even existence of hospital ethics committees (HECs) are not universally agreed upon. Over the past 20 years, the study of HECs has focused mainly on their structure, scope, and function, making the results more descriptive than anything. In an effort to present study results that could help HECs better serve the needs of their organizations, the authors of this arti...

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