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What is the difference between unbiasedness, consistency and efficiency of estimators? How are these interrelated among themselves? [duplicate]

!Efficiency(https://stackoverflow.com/20240427_193105.jpg). Given snapshot of the book states that among the class of consistent estimators, in general, more than one consistent estimator of a ...
Parth's user avatar
  • 1
4 votes
1 answer
300 views

Cramer-Rao lower bound for the variance of unbiased estimators of $\theta = \frac{\mu}{\sigma}$

Let $X_1, \cdots, X_n$ be a sample from the $N(\mu, \sigma^2)$ density, where $\mu, \sigma^2$ are unknown. I want to find a lower bound $L_n$ which is valid for all sample-sizes $n$ for the variance ...
Oscar24680's user avatar
1 vote
1 answer
137 views

Fisher Information for $\bar{X}^2 - \frac{\sigma^2}{n}$ with $X_1, \dots, X_n$ normally distributed

I need to find the Fisher Information for $T = \bar{X}^2 - \frac{\sigma^2}{n}$ with $X_1, \dots, X_n$ normally distributed sample with unknow mean $\mu$ and know variance $\sigma^2$. For this I'm ...
Peter Languilla's user avatar
1 vote
0 answers
28 views

I am looking for a method to estimate a threshold function for binary outcome data

A literature search yielded no obvious answers, so I wonder here if there any feasible methods to estimate the following. Suppose I have data $Y_i, \vec X_i$ indexed by $i = 1, \cdots, N$. Note that $...
Eyeconoclastic's user avatar
0 votes
0 answers
32 views

Extending Minimal sufficient statistics to arbitrary dimension

I am wondering if the following reasoning is correct regarding minimal sufficiency and dimension. Given $X_1,\dots,X_n$ i.i.d. $N(\mu,1)$, we know that the sample mean $S = \bar{X}$ is a minimal ...
WeakLearner's user avatar
  • 1,501
2 votes
0 answers
31 views

How can we compare biases of two estimators with no parametric form?

I was reading in my textbook that the bias of a statistical estimator $\hat{\theta}_n$ can be quantified as $B(\hat{\theta}_n,\theta)=E[\hat{\theta}_n-\theta]$. This expectation seems to be w.r.t. to ...
statkun's user avatar
  • 63
10 votes
5 answers
2k views

How do we know the true value of a parameter, in order to check estimator properties?

For example, we say that an estimator is unbiased if the expected value of the estimator is the true value of the parameter we're trying to estimate. However, if we already know the true value of the ...
Angelos Koulas's user avatar
3 votes
0 answers
15 views

If the bias of an estimator is expressed as a difference, what do you call the ratio of the estimator and true value?

If $Bias(\hat{\beta}) = (\beta - \mathbb{E}[\hat{\beta}])$, is there a term to describe the quantity $\frac{\mathbb{E}[\hat{\beta}]}{\beta}$?
user154510's user avatar
3 votes
0 answers
68 views

When is it better to have an unbiased estimator instead of one that has a smaller risk?

I just learned that for $X_1, \ldots X_n \sim N(\mu, \sigma^2)$ i.i.d, the sample variance $\frac{1}{n-1} \sum_{i=1}^n (X_i - \bar X)^2$ is unbiased, and it is in fact UMVUE. However, it is not ...
Phil's user avatar
  • 636
5 votes
2 answers
350 views

What is Bayes estimator of $\theta$ when loss function is $L(\theta,a)=I(|\theta -a|>\delta)$?

Suppose $X$ given $\theta$ has pdf $f(x\mid \theta)=e^{-(x-\theta)}I(x>\theta)$ and there is a standard Cauchy prior on $\theta$. As part of an exercise, I am trying to find a Bayes estimator of $\...
StubbornAtom's user avatar
  • 11.5k
0 votes
0 answers
286 views

Fisher matrix for a discrete distribution

Let $\mathbf{X} = \{X_1, \ldots, X_n\}$ be a sample of i.i.d. variables following a discrete distribution with parameters $\mathbf{p}^T = (p_1, p_2, p_3)$. How can I find the Fisher information matrix ...
GingerBadger's user avatar
1 vote
0 answers
119 views

Statistical Inference: Definition of contrast function

Reading a paper recently regarding results on parameter estimation and I came across the terminology "contrast function" which was a function constructed out of a sample. If I compare it to ...
oliverjones's user avatar
8 votes
3 answers
558 views

Estimating $\theta$ based on censored data when $X_i\sim \text{Uniform}(0,\theta)$ with $\theta\ge 1$

Suppose $(X_i)_{1\le i\le n}$ are i.i.d $\text{Uniform}(0,\theta)$ random variables where $\theta \ge 1$. We observe $Y_i=\min(X_i,1)$ instead of $X_i$. I wish to estimate $\theta$ based on the data $(...
StubbornAtom's user avatar
  • 11.5k
0 votes
1 answer
64 views

Instrumental variables - OLS - estimation

I have a question regarding the OLS estimation, in the case of an estimation with instrumental variables: We assume the linear model $𝒚= 𝑿\beta+𝒖$ with $Z$ = instrumental variables. Multiplying the ...
Joe94's user avatar
  • 95
0 votes
1 answer
141 views

Should a Test Statistic Consist of a Consistent Estimator for the Parameter of Interest?

Suppose that we want to test the following hypothesis: $$H_0: \theta \in \Theta_0\quad vs \quad H_1: \theta\in \Theta_0^c.$$ Suppose that our test statistic is $T_n$. Then, should the test statistic $...
M.C. Park's user avatar
  • 935

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