系数多项式回归 [英] coefficient polynomial regression

问题描述

在我的大型项目中，我想找出多项式方程的系数.等式为

f(x)=(ci(x * mod(lamda))^ i的(ax + b)求和，其中i从0到方程的度.

在此等式中，x是ex的天数之差. 10天，20天即购买一种产品后，用户在10天或20天后购买了另一种产品.y表示这10天或20天序列在数据库ex中出现的时间.用户购买了10天的产品系列(购买a之后购买了b，因此ab是一个系列)，为期5天，因此y = 5.
因此对于该多项式方程式已被使用. lamda是该序列中的错误，我知道x，y，lamda，i，a，b的值. &ci是多项式方程的系数.我对于x&y有一个很大的数据库，我想找到eq f(x)，所以任何人都可以帮助我找到常数ci(i = 0到i = eq的度数). div class ="h2_lin">解决方案

请查看此链接可能对您有帮助.

http://www.centerspace.net/blog/tag/c-polynomial-regression/ [ ^ ]

In my mega project I want to find out coefficient of polynomial equation .The eq is

f(x)=(ax+b)summation of(ci(x*mod(lamda))^i where i from 0 to degree of equation.

In this equation x is difference between days for ex. 10days,20days ie. after purchasing of one product user purchase another product after 10 days or 20 days.& y means how much time this sequence of 10 days or 20 days comes in database ex. user purchase a product series(after purchasing a they purchase b so ab is one series) of 10 days for 5 times so y=5.
so for that polynomial equation has been used. lamda is the error in that sequence & I know value of x,y,lamda,i,a,b. & ci is coefficient of polynomial equation.I have large database for x & y & I want to find eq f(x).So anyone can help me how to find constant ci (i=0 to i=degree of eq).

解决方案

please see this link it may helpful to you.

http://www.centerspace.net/blog/tag/c-polynomial-regression/[^]

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