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相关概念视频

Sampling Plans01:23

Sampling Plans

1.1K
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
1.1K
Random Sampling Method01:09

Random Sampling Method

15.5K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
15.5K
Stratified Sampling Method01:16

Stratified Sampling Method

15.9K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
15.9K
Systematic Sampling Method01:17

Systematic Sampling Method

13.7K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
13.7K
Sampling Methods: Overview01:06

Sampling Methods: Overview

3.7K
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. 
In analytical chemistry, the choice of...
3.7K
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

3.5K
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
3.5K

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相关实验视频

Updated: Mar 9, 2026

An Unbiased Approach of Sampling TEM Sections in Neuroscience
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An Unbiased Approach of Sampling TEM Sections in Neuroscience

Published on: April 13, 2019

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积极的不统一的抽样.

Bradley Worley1

  • 1Numerion Labs, San Francisco, CA, USA.

Journal of magnetic resonance (San Diego, Calif. : 1997)
|March 7, 2026
PubMed
概括
此摘要是机器生成的。

非均采样 (NUS) 通过智能选择数据点来加速多维NMR实验. 本研究引入了主动非均采样 (ANS),以优化数据采集,以提高光谱质量和缩短实验时间.

关键词:
积极学习是指积极学习.压缩感应感应 压缩感应不统一的采样方式统计推断的统计推断.变化推理的推理是变化的.

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Sampling Soils in a Heterogeneous Research Plot
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Sampling Strategies and Processing of Biobank Tissue Samples from Porcine Biomedical Models
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相关实验视频

Last Updated: Mar 9, 2026

An Unbiased Approach of Sampling TEM Sections in Neuroscience
10:56

An Unbiased Approach of Sampling TEM Sections in Neuroscience

Published on: April 13, 2019

7.8K
Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

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Sampling Strategies and Processing of Biobank Tissue Samples from Porcine Biomedical Models
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Sampling Strategies and Processing of Biobank Tissue Samples from Porcine Biomedical Models

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科学领域:

  • 核磁共振 (NMR) 谱学是指核磁共振的光谱学.
  • 分析化学 分析化学
  • 物理化学 物理化学

背景情况:

  • 多维NMR实验需要大量的获取时间.
  • 非统一采样 (NUS) 是一种减少实验持续时间的策略.
  • 目前的NUS时间表选择通常依赖于经验方法.

研究的目的:

  • 调查主动非统一采样 (ANS) 的原则.
  • 开发和评估用于NMR实验的候选ANS算法.
  • 评估ANS在减少实验时间方面的性能和实用性.

主要方法:

  • 开发一个活跃的非统一采样 (ANS) 算法.
  • 在NMR获取循环中整合一个重建算法.
  • 在二维NMR实验中应用和测试ANS算法.

主要成果:

  • 开发的ANS算法证明了优化采样时间表的潜力.
  • 采集过程中的主动反允许动态调整采样点.
  • 最初的评估表明,ANS可以在缩短的采集时间内提高光谱质量.

结论:

  • 主动非均采样 (ANS) 提供了一种有前途的方法,以进一步加速NMR实验.
  • 通过结合实时优化,ANS超越了静态采样时间表.
  • 开发的候选ANS算法显示了对二维NMR的实际实用性.