stress estimation - definizione. Che cos'è stress estimation
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Cosa (chi) è stress estimation - definizione

CONSTRUCTION OF AN ESTIMATE, BASED ON OBSERVED DATA, OF AN UNOBSERVABLE UNDERLYING PROBABILITY DENSITY FUNCTION
Density Estimation; Probability estimation; Probability density estimation
  • Estimated probability of ''p'' (diabetes=1 | glu)
  • Histogram and density function for a Gumbel distribution <ref>[https://www.waterlog.info/cumfreq.htm A calculator for probability distributions and density functions]</ref>
  • Demonstration of density estimation using [[Kernel density estimation]]: The true density is mixture of two Gaussians centered around 0 and 3, shown with solid blue curve. In each frame, 100 samples are generated from the distribution, shown in red. Centered on each sample, a Gaussian kernel is drawn in gray. Averaging the Gaussians yields the density estimate shown in the dashed black curve.
  • Estimated probability of ''p''(diabetes=1 &#124; glu)
  • Estimated density of ''p'' (glu &#124; diabetes=1) (red), ''p''&nbsp;(glu &#124; diabetes=0) (blue), and ''p''&nbsp;(glu) (black)

Adversity         
  • Schematic overview of the classes of stresses in plants
  • A diagram of the general adaptation syndrome model
  • Neurohormonal response to stress
  • border=darkgray}}
ORGANISM'S RESPONSE TO A STRESSOR SUCH AS AN ENVIRONMENTAL CONDITION OR A STIMULUS
General adaptation syndrome; Stress syndrome; Physiological stress; Adversity; General Adaptation Response; General adaptation response syndrome; Environmental stress; General Adaptation Syndrome; Stress out; Stress (medicine); Stress (medecine); General adaptative syndrome; Environmental stresses; Stress (medical); Stress (biological); Medical stress; Stress (physiology); Stress (Physiology); Stress (mental); Stress in humans; Biological stress; Biology of stress; Effects of chronic stress; Chronic stress and cardiovascular disease
·noun Opposition; contrariety.
adversity         
  • Schematic overview of the classes of stresses in plants
  • A diagram of the general adaptation syndrome model
  • Neurohormonal response to stress
  • border=darkgray}}
ORGANISM'S RESPONSE TO A STRESSOR SUCH AS AN ENVIRONMENTAL CONDITION OR A STIMULUS
General adaptation syndrome; Stress syndrome; Physiological stress; Adversity; General Adaptation Response; General adaptation response syndrome; Environmental stress; General Adaptation Syndrome; Stress out; Stress (medicine); Stress (medecine); General adaptative syndrome; Environmental stresses; Stress (medical); Stress (biological); Medical stress; Stress (physiology); Stress (Physiology); Stress (mental); Stress in humans; Biological stress; Biology of stress; Effects of chronic stress; Chronic stress and cardiovascular disease
¦ noun (plural adversities) difficulty or misfortune.
adversity         
  • Schematic overview of the classes of stresses in plants
  • A diagram of the general adaptation syndrome model
  • Neurohormonal response to stress
  • border=darkgray}}
ORGANISM'S RESPONSE TO A STRESSOR SUCH AS AN ENVIRONMENTAL CONDITION OR A STIMULUS
General adaptation syndrome; Stress syndrome; Physiological stress; Adversity; General Adaptation Response; General adaptation response syndrome; Environmental stress; General Adaptation Syndrome; Stress out; Stress (medicine); Stress (medecine); General adaptative syndrome; Environmental stresses; Stress (medical); Stress (biological); Medical stress; Stress (physiology); Stress (Physiology); Stress (mental); Stress in humans; Biological stress; Biology of stress; Effects of chronic stress; Chronic stress and cardiovascular disease
n. to face; overcome adversity

Wikipedia

Density estimation

In statistics, probability density estimation or simply density estimation is the construction of an estimate, based on observed data, of an unobservable underlying probability density function. The unobservable density function is thought of as the density according to which a large population is distributed; the data are usually thought of as a random sample from that population.

A variety of approaches to density estimation are used, including Parzen windows and a range of data clustering techniques, including vector quantization. The most basic form of density estimation is a rescaled histogram.