why do we consider the sample and the noise to be $i.i.d$? what is the theoretical explanation for estimation why do we consider the samples and the noise to be $i.i.d$ how can we use estimation to evaluate the uncertainty of a parameter what is an appropriate concept for an estimation why does estimator need to take a range when do we consider the noise as a gaussian distribution what is an example of an estimate in statistical why do we consider the noise to be $i.i.d$ how to use estimation theory which of the following is a gaussian estimation? what is the estimating theory why estimating parameter is called unknown why do we consider the samples and the noise to be iid$ how to estimate a parameter using estimation theory what is the definition of an estimate in psychology which statement describes an example of an estimate estimating an unknown parameter what is the definition of estimate theory when are unbiased estimates useful