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Updated: Sep 12, 2025

Preparation of Homogeneous MALDI Samples for Quantitative Applications
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Preparation of Homogeneous MALDI Samples for Quantitative Applications

Published on: October 28, 2016

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对同质批量样本的两个蒙特卡洛方法的比较

Dawei Gao1, Yu Yuan1, Nicolas Brodusch1

  • 1Department of Mining and Materials Engineering, McGill University, Montréal, Québec, Canada.

Journal of microscopy
|August 6, 2025
PubMed
概括

MC X-ray 和 PENELOPE 是一个X射线模拟软件包. MCX射线在k比计算中显示出略高的精度,并提供更快的处理速度,使其对微分析的用户友好.

关键词:
在MC的X射线中.佩内洛佩 (Penelope) 是一个女神.能量分散式X射线光谱学这是一个k-ratio.量化X射线微分析方法

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A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
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The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can...
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