# Questions tagged [curve-fitting]

Methods used to fit curves (as in linear or non-linear regression) to data.

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### Combining data from multiple studies - best approach?

I'm looking at an old paper on the incidence of HPV infection by age cohorts. The authors present a plot of estimates from many different studies around Europe which looks like this - note the authors ...
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### Recovering samples from a density estimation with an additional prior on the samples. Used for Gibbs sampling

Abstract Idea: Given a noisy measured density ($d_j$ at position $p_j$) and a density model, sample from the model parameters under the following stochastic model: Stochastic Model: Prior for model ...
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1 vote
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### Describing / fitting a highly skewed distribution

I've got a data set of 84,529 entries, each entry referring to the number of times a particular entry is cited in a database. This set is extremely skewed, ranging from entries with 0 citations to one ...
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### How to fit joint models for longitudinal and binary (outcome) data?

Joint Models are mainly viewed in the literature within the context of longitudinal and time-to-event data. For this reason R packages as JMBayes were built to fit these kind of models. Nonetheless I ...
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### How to predict single y target based on several X values? [duplicate]

I try to predict the result of an personality type test based on how people answered. My sample consists of the answers which range from 1 (strongly disagree) to 7 (strongly agree). Six answers lead ...
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### Choosing a model function for optimization [closed]

When finding a curve fitting of some data like this, which formula is good to choose? Is this a good one? y = c0 + ln(c1*x) ...
26 views

### Interpolating curve equation from model data

I need to define an equation to represent a series of points from a model. As they are predictions from an already fit non-linear regression, noise shouldn't really be an issue. I have seen many ...
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### Fitting distribution to literature-reported incidence rates or cumulative risks

I am building a simulation model in R. In this model, I would like to simulate a patient with a certain baseline age, and then simulate the time-to-event for breast cancer. I want to sample the time-...
1 vote
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### Predicting Repurchase Curves next value based on usual functional form

Some definitions first: Acquired customers: Customers placing an order for their first time. Cohort: Group of customers that have been acquired during the same time period. Repurchase: An order placed ...
97 views

### Which function matches this concave pattern in my scatter plot?

I'm trying to find a function that matches the following shape. My first attempt was with a cosine function $$f(x) = a\cos(b x)$$ which yields the following result: What modification of the cosine ...
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202 views

### Fit Curve Method

Can I ask, I wanted to model/fit data. Data looks simple, but I want to model t+400 data (as t is current time). Data looks like this: Simple lm: ...
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1 vote
110 views

### Fitting a curve with data that is nonlinear in logs

I would like to fit a curve for extrapolation purposes that looks as follows: The dependent variable is already in logs and the independent variable can be thought of as "days" (i.e. it ...
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### How can I match/fit simulation data with the experimental/reference data by estimating parameters in python

I would like to match/fit the simulation data of a battery from my model with the experimental data I have from lab. The reference for my task is given in this video:[enter link description here][1] I ...
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1 vote