Of course, of the first questions, we always ask in statistics is: “what is the trend/mean?” or “How does this behave on average”? In this article, we consider the problem of estimating the trend, along with its statistical properties. “Why bother?” — you may ask. By knowing its basic statistical properties such as **biasness ** and **consistency, ** we have a more theoretically based ground and quantitative measures to trust or not to trust our estimates. Indeed, if we cannot even be sure of how close to accurate our estimates are, why even bother using them?

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A Complete Introduction To Time Series Analysis (with R):: Estimation of mu (mean)
1.30 GEEK