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

Prediction Intervals01:03

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
The...
Probability in Statistics01:14

Probability in Statistics

Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
Multiple Regression01:25

Multiple Regression

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...
Regression Analysis01:11

Regression Analysis

Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:

You might also read

Related Articles

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

Sort by
Same author

Erratum for Ivanova et al., "Large-scale phenotypic and genomic analysis of <i>Listeria monocytogenes</i> reveals diversity in the sensitivity to quaternary ammonium compounds but not to peracetic acid".

Applied and environmental microbiology·2025
Same author

Northern shrimp (<i>Pandalus borealis</i>) - a review on biology, catch, processing, quality changes, shelf-life and product safety.

Critical reviews in food science and nutrition·2025
Same author

Modeling and predicting growth and growth boundary of <i>Bacillus cereus s.l.</i> from phylogroups II, IV, V, and VI in starchy foods at or below 12°C.

Frontiers in microbiology·2025
Same author

Evaluation and validation of extensive growth and growth boundary models for mesophilic and psychrotolerant <i>Bacillus cereus</i> in dairy products (Part 2).

Frontiers in microbiology·2025
Same author

Development of extensive growth and growth boundary models for mesophilic and psychrotolerant <i>Bacillus cereus</i> in dairy products (Part 1).

Frontiers in microbiology·2025
Same author

Large-scale phenotypic and genomic analysis of <i>Listeria monocytogenes</i> reveals diversity in the sensitivity to quaternary ammonium compounds but not to peracetic acid.

Applied and environmental microbiology·2025

Related Experiment Videos

Introduction to predictive modelling special issue. Preface

Kostas Koutsoumanis1, Tom McMeekin, Paw Dalgaard

  • 1Department of Food Science and Technology, Aristotle University of Thessaloniki, Thessaloniki, Greece. kkoutsou@agro.auth.gr

International Journal of Food Microbiology
|October 7, 2008
PubMed
Summary

No abstract available in PubMed .

Related Experiment Videos