answersLogoWhite

0


Best Answer

yes because once there is too many of one species the will battle for food which will becoome scarce. pluss not every year has the same climet, like summer might be cooler one year and hotter the next

User Avatar

Wiki User

βˆ™ 11y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: Are Logistic growth models more realistic than exponential growth models?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

What are the two major types of population models?

The two major types of population models are deterministic models, which predict population changes based on fixed parameters and assumptions, and stochastic models, which account for randomness and variability in factors affecting population dynamics.


How do you fill the selected cells with the successive months of the year?

Try the logistic function. It models the population growth.


What has the author Douglas R Miller written?

Douglas R. Miller has written: 'Statistical modelling of software reliability' -- subject(s): Computer software, Reliability 'Exponential order statistic models of software reliability growth' -- subject(s): Computer programs, Computer software, Distribution (Probability theory), Exponential functions, Mathematical models, Monotonic functions, Order statistics, Poisson processes, Probability theory, Reliability 'Sole Ownership'


How does Logistic regression Work?

The logistic regression "Supervised machine learning" algorithm can be used to forecast the likelihood of a specific class or occurrence. It is used when the result is binary or dichotomous, and the data can be separated linearly. Logistic regression is usually used to solve problems involving classification models. For more information, Pls visit the 1stepgrow website.


What has the author Roza Sjamsoe'oed written?

Roza Sjamsoe'oed has written: 'The use of logistic regression for developing habitat association models' -- subject(s): Regression analysis, Mathematical models, Habitat (Ecology)


What are the advantages and disadvantage of logistic regression compared with linear regression analysis?

It all depends on what data set you're working with. There a quite a number of different regression analysis models that range the gambit of all functions you can think of. Obviously some are more useful than others. Logistic regression is extremely useful for population modelling because population growth follows a logistic curve. The final goal for any regression analysis is to have a mathematical function that most closely fits your data, so advantages and disadvantages depend entirely upon that.


What is A model that is used in science?

the models of science are idea,computer,realistic,and psychical model :)


What is the similarity between computer models and physical models?

They are both models, andthey both can be explained.


What are the three urban growth models?

The three urban growth models are the concentric zone model, the sector model, and the multiple nuclei model. These models describe different patterns of urban development and how cities evolve over time.


What has the author R Lee Kennedy written?

R. Lee Kennedy has written: 'A comparison of logistic regression and artificial neural network models for the early diagnosis of acute myocardialinfarction (AMI)'


What are some uses of logarithms?

Many things in nature tend to grow in an exponential fashion, meaning their growth is relative to their size at the moment. Bank investments, bacterial colonies, and numerous examples in physics follow such models. In order to remove the exponents and get linear equations which are far more manageable, logarithms can be used.


What are forecasting models?

1) forecasting for stationary series A- Moving average B- Exponential Smoothing 2) For Trends A- Regression B- Double Exponential Smoothing 3) for Seasonal Series A- Seasonal factor B- Seasonal Decomposition C- Winters's methode