Line 9: Line 9:
 
Section I will mention the official source and relating background about the size of the US population.  
 
Section I will mention the official source and relating background about the size of the US population.  
  
[[Background of Population]]  
+
[[Background of Population|Section I. Background of Population]]  
  
 
Section II will address why population projection is important.
 
Section II will address why population projection is important.
  
[[Importance of population projection]]  
+
[[Importance of population projection| Section II. Importance of population projection]]  
  
 
Section III will briefly go over exponential population model which had great influence on the invention of the logistic population model.
 
Section III will briefly go over exponential population model which had great influence on the invention of the logistic population model.
Line 31: Line 31:
 
[[Further information]]  
 
[[Further information]]  
  
Section VI includes citations.
+
Section VII includes citations.
  
 
[[Reference]]  
 
[[Reference]]  
  
 
[[2018_Fall_MA_279_Walther|Back to MA279 Homepage]]
 
[[2018_Fall_MA_279_Walther|Back to MA279 Homepage]]

Revision as of 19:55, 2 December 2018

The size of the US Population and the Logistic Model (Mini 3.b)

Yujie Chen|Qining Guo|Tong Ding|Qihui Feng|Dingyue Liu

Introduction

In this paper, we are going to discuss the logistic model of predicting the population and its historical applications on the size of the US population. The population of the United States is the total number of people living in the United States with US citizenship. Population projection is the estimation of the future size of the population.

Section I will mention the official source and relating background about the size of the US population.

Section I. Background of Population

Section II will address why population projection is important.

Section II. Importance of population projection

Section III will briefly go over exponential population model which had great influence on the invention of the logistic population model.

Before logistic model

Section IV will focus on the logistic model and its derivations.

Logistic Models

Section V will discuss some historical application of the logistic model.

Failure of the models

Section VI will

Further information

Section VII includes citations.

Reference

Back to MA279 Homepage

Alumni Liaison

To all math majors: "Mathematics is a wonderfully rich subject."

Dr. Paul Garrett