A model having more parameters than can be estimated from the data. For example, suppose that the yields of two types of tomatoes are to be compared using the data {yjk}, where j (=1, 2) signifies the treatment and k is the number of the observation. Consider the model
where the {εjk} are independent random errors, each with mean 0 and variance σ2. As it stands, this model is overparameterized, because for each value of j, only (μ+τj) can be estimated. The value attributed to μ can be arbitrarily chosen. However, the problem can be solved either by rewriting the model
or by retaining the original model and adding a constraint such as τ1+τ2=0.
- adaptive control system
- adaptive-control system
- adaptive delta modulation
- adaptive differential pulse code modulation
- adaptive environmental management
- adaptive equalizer
- adaptive expectations
- adaptive Huffman coding
- adaptive immunity
- adaptive interface
- adaptive logic
- adaptive maintenance
- adaptive meshing
- adaptive optics
- adaptive preferences
- adaptive process
- adaptive quadrature
- adaptive radiation
- adaptive ray tracing
- adaptive routing algorithm
- adaptive sampling
- adaptive system
- adaptive thermogenesis
- adaptive zone
- adaptor protein