Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Systematic Sampling Method01:17

Systematic Sampling Method

10.4K
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...
10.4K
Sampling Plans01:23

Sampling Plans

214
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...
214
Stratified Sampling Method01:16

Stratified Sampling Method

12.1K
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...
12.1K
Study Design in Statistics01:15

Study Design in Statistics

8.3K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
8.3K
Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

7.4K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
7.4K
Microsoft Excel: Regression Analysis01:18

Microsoft Excel: Regression Analysis

700
Regression analysis in Microsoft Excel is a powerful statistical method for examining the relationship between a dependent variable and one or more independent variables. It's used extensively in fields such as economics, biology, and business to predict outcomes, understand relationships, and make data-driven decisions. The most common type is linear regression, which attempts to fit a straight line through the data points to model the relationship between variables.
To perform regression...
700

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

<i>Capsicum annuum</i> RPW8 Confers Broad-Spectrum Resistance against Multiple Pathogens.

Journal of agricultural and food chemistry·2026
Same author

CaNAC61, CaNAC79, and CaNAC92 Act as Negative Regulators in Pepper Defense Response Against <i>Phytophthora capsici</i>.

Biology·2026
Same author

RUL-DBRS: A Novel Energy Efficient and Robust Protocol for Enhanced Communication in Underwater Wireless Sensor Networks.

Scientific reports·2026
Same author

Multi-scale resistivity imaging for soil moisture and structure characterization in precision agriculture.

PloS one·2026
Same author

Monitoring Lysosomal Viscosity in Hyperglycemia in Association with Ca<sup>2+</sup> Homeostasis and Alzheimer's Disease Using a Fluorescent Zn-Metal Complex.

Chemical & biomedical imaging·2026
Same author

The influence of job content and autonomy on psychological well-being through work identity and job crafting among pharmacists in Pakistan.

PloS one·2026

Related Experiment Video

Updated: Jul 22, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K

An improved version of systematic sampling design for use with linear trend data.

Muhammad Azeem1, Sundus Hussain2, Musarrat Ijaz3

  • 1Department of Statistics, University of Malakand, Chakdara, Khyber Pakhtunkhwa, Pakistan.

Heliyon
|July 24, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a modified systematic sampling method that enhances efficiency over existing designs. This improved survey sampling technique is particularly effective for populations with linear trends.

Keywords:
62D0565C05Diagonal systematic samplingEfficiencyLinear trendMathematics Subject Classification 2020Milk yield dataSample surveys

More Related Videos

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K
Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

34.6K

Related Experiment Videos

Last Updated: Jul 22, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K
Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

34.6K

Area of Science:

  • Statistics
  • Survey Methodology

Background:

  • Systematic sampling is a widely used survey sampling design due to its simplicity.
  • Recent advancements include diagonal systematic sampling, offering new efficiencies.
  • Existing methods may not be optimal for populations with specific trend characteristics.

Purpose of the Study:

  • To introduce a modified systematic sampling scheme.
  • To enhance the efficiency of the diagonal systematic sampling method.
  • To compare the proposed design against other popular sampling techniques.

Main Methods:

  • A modified systematic sampling scheme is proposed.
  • The efficiency of the new method is mathematically analyzed.
  • Performance is evaluated against existing popular sampling designs.

Main Results:

  • The modified systematic sampling scheme improves efficiency compared to the diagonal systematic sampling method.
  • The proposed design is more efficient than other popular designs for populations with linear trends (increasing or decreasing).
  • The conditions for efficiency are mathematically robust and practically applicable.

Conclusions:

  • The suggested modified systematic sampling design offers superior efficiency.
  • This method is preferable for survey sampling, especially in populations exhibiting linear trends.
  • The mathematical and practical strengths support its adoption in survey research.