Dancing "a la Levenberg-Marquardt" to get the best Logistic Model.

*To*: mathgroup at smc.vnet.net*Subject*: [mg124829] Dancing "a la Levenberg-Marquardt" to get the best Logistic Model.*From*: Gilmar Rodriguez-pierluissi <peacenova at yahoo.com>*Date*: Wed, 8 Feb 2012 05:33:58 -0500 (EST)*Delivered-to*: l-mathgroup@mail-archive0.wolfram.com*Reply-to*: Gilmar Rodriguez-pierluissi <peacenova at yahoo.com>

Dear Math Group: (**I start with the following population values between 1972 to 2008:**) In[2]:= popvalues = {217928, 219129, 221577, 227481, 231748, 233514, 232857, 233664, 235228, 240526, 243310, 249587, 250128, 253383, 257751, 261999, 258229, 262567, 263272, 267643, 272468, 274035, 276154, 278323, 282606, 289505, 295243, 293956, 294410, 296399, 297382, 298289, 299248, 296785, 299359, 300184, 299993}; In[3]:= L = Length[popvalues]; (** The highest (projected) value that the population can reach is: **) In[4]:= pop2020 = 304909; (** Assemble the data to do build a "scatter plot" **) In[5]:= popvalues2D = Join[Table[{i, popvalues[[i]]}, {i, 1, L}], {{49, pop2020}}]; In[6]:= plt1 = ListPlot[popvalues2D] Out[6]= (** Plot ommited **) (** Let: **) In[7]:= K = pop2020 Out[7]= 304909 In[8]:= Subscript[P, 1] = popvalues[[1]] Out[8]= 217928 (** I'm attempting to use a Population Logistic model similar to one \ found in (where else?) Wikipedia: http://en.wikipedia.org/wiki/Logistic_function under the title: "In \ ecology: modeling population growth". **) (** Since I need this model to satisfy Logistic[1]= Subscript[P, 1] \ and Lim t -> Infinity Logistic[t] = K; I came up with the following \ version of the Logistic Model to handle the above data set \ appropriately: **) (** Logistic[t_]=(K Subscript[P, 1]Exp[rt])/(K Exp[r]+ Subscript[P, \ 1](Exp[er]-Exp[r])); **) (** If you inspect this model ("by hand") you will see that \ Logistic[1]= Subscript[P, 1] (the first population data point). Using \ L'Hopital's Rule; one can show that Lim t -> Infinity (Logistic[t]) = \ K; by taking the derivative of the numerator and denominator with \ respect to t and performing the appropriate cancellations. Again; K \ is the highest value that the population can reach "by design". **) (** Logistic[t_]=(Subscript[P, 1] E^(r*t))/(E^r+ Subscript[P, 1] \ (E^(r*t)- E^r)/K); **) (** The model is equivalent to: **)\[AliasDelimiter] In[13]:= Logistic[t_] = ( Subscript[P, 1] Exp[r t])/( Exp[r] + Subscript[P, 1] (Exp[r t] - Exp[r])/K); (** I' m expecting Logistic[1] = 217928 and indeed : ) In[14]:= Logistic[1] Out[14]= 217928 (** but, unfortunately; **) In[16]:= Limit[Logistic[t], t -> Infinity] Out[16]= Limit[(217928 E^(r t))/( E^r + (217928 (-E^r + E^(r t)))/304909), t -> \[Infinity]] (** and: **) In[15]:= Logistic[49] Out[15]= = (217928 E^(49 r))/(E^r + (217928 (-E^r + E^(49 r)))/304909) (** I can see the the function Logistic[t] requires to be "herded" \ (somehow) so that cancellations of terms can take place. Perhaps \ using "Hold[]" and "ReleaseHold[]; I just don't know how. **) (** I need to overcome the above hurdle before evaluating: **) logisticnlm = NonlinearModelFit[popvalues2D, Logistic[t, r], {r}, t] (** I want to use the initial point Subscript[P, 1] and end point \ Subscript[P, 49] as "pivot points" and use NonlinearModelFit to get \ the Best Fit Non-Linear Regression via a "dance a la Levenberg-Marquardt" \ similar to the dance shown here: http://www.numerit.com/samples/nlfit/doc.htm **) (** Thank you for your help! **)