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

Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

468
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
468
Survival Curves01:18

Survival Curves

192
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
192
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

1.4K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
1.4K
Elastic Curve from the Load Distribution01:16

Elastic Curve from the Load Distribution

194
The structural behavior of beams under distributed loads is critical for engineering analysis, which focuses on predicting how beams bend and react under such conditions. Different types of beams (e.g., cantilever, supported, or overhanging) behave differently under distributed load conditions.
For all beams, the analysis of the beam's reaction to distributed loads begins by understanding the relationship between a beam's load and the resulting shear forces and bending moments.
194
Equation of the Elastic Curve01:23

Equation of the Elastic Curve

539
The concept of curvature in plane curves, crucial in structural engineering, defines how sharply a beam bends under load. This curvature is determined using the curve's first and second derivatives.
Consider a cantilever beam with a point load at its free end (for instance, a diving board). When analyzing beam deflection with small slopes, the shape of the beam's elastic curve becomes key. The governing equation for this analysis involves the bending moment and the beam's flexural...
539
Population Growth00:57

Population Growth

25.3K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
25.3K

You might also read

Related Articles

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

Sort by
Same author

Correction: Chaotic fluctuations mark the sign of mental activity in task-based heart rate variability.

Scientific reports·2026
Same author

Chaotic fluctuations mark the sign of mental activity in task-based heart rate variability.

Scientific reports·2026
Same author

Anosov properties of a symplectic map with time-reversal symmetry.

Chaos (Woodbury, N.Y.)·2025
Same author

The Impact of COVID-19 on Weak-Form Efficiency in Cryptocurrency and Forex Markets.

Entropy (Basel, Switzerland)·2023
Same author

Investigating Dynamical Complexity and Fractal Characteristics of Bitcoin/US Dollar and Euro/US Dollar Exchange Rates around the COVID-19 Outbreak.

Entropy (Basel, Switzerland)·2023
Same author

Chaotic synchronization of mutually coupled systems-arbitrary proportional linear relations.

Chaos (Woodbury, N.Y.)·2022

Related Experiment Video

Updated: Jul 16, 2025

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS

Published on: July 30, 2020

2.9K

Average booking curves draw exponential functions.

Masaru Shintani1,2, Ken Umeno3

  • 1Kyoto University, Graduate School of Informatics, Kyoto, 606-8501, Japan. shintani.masaru.28a@kyoto-u.jp.

Scientific Reports
|September 22, 2023
PubMed
Summary

This study reveals a universal statistical law, the average booking curves follow exponential functions (ABCDEF law), applicable across industries and economic shifts. This law helps quantify buying behavior changes over time.

More Related Videos

Saccharomyces cerevisiae Exponential Growth Kinetics in Batch Culture to Analyze Respiratory and Fermentative Metabolism
07:38

Saccharomyces cerevisiae Exponential Growth Kinetics in Batch Culture to Analyze Respiratory and Fermentative Metabolism

Published on: September 30, 2018

42.1K
ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth
11:19

ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth

Published on: July 3, 2017

8.3K

Related Experiment Videos

Last Updated: Jul 16, 2025

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS

Published on: July 30, 2020

2.9K
Saccharomyces cerevisiae Exponential Growth Kinetics in Batch Culture to Analyze Respiratory and Fermentative Metabolism
07:38

Saccharomyces cerevisiae Exponential Growth Kinetics in Batch Culture to Analyze Respiratory and Fermentative Metabolism

Published on: September 30, 2018

42.1K
ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth
11:19

ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth

Published on: July 3, 2017

8.3K

Area of Science:

  • Revenue Management
  • Statistical Physics
  • Behavioral Economics

Background:

  • Perishable asset industries, like hotels, use booking curves for revenue management (RM).
  • Shifting economic and technological landscapes necessitate understanding evolving booking patterns.
  • Previous RM models often overlooked macroscopic changes in booking curves.

Purpose of the Study:

  • To investigate macroscopic aspects of booking curves across industries and economic environments.
  • To identify and explain a universal statistical law governing average booking curves.
  • To provide a framework for quantitatively measuring changes in buying behavior.

Main Methods:

  • Analysis of two years of actual sales data from six hotel and car-rental properties.
  • Comparison of booking patterns before and during the COVID-19 pandemic.
  • Modeling using statistical physics principles and empirical data validation.

Main Results:

  • Discovery of a universal statistical law: average booking curves follow exponential functions (the ABCDEF law).
  • The ABCDEF law holds across different industries (hotels, car rentals) and economic conditions.
  • The law provides a basis for understanding and quantifying shifts in consumer buying behavior.

Conclusions:

  • The ABCDEF law offers a robust, cross-industry model for understanding booking dynamics.
  • This statistical law can quantitatively measure buying behavior changes amidst societal shifts.
  • Findings are expected to enhance revenue management strategies in various sectors.