avatarHair Parra

Free AI web copilot to create summaries, insights and extended knowledge, download it at here

1865

Abstract

">Consitency and Convergence in Probability</h2><figure id="7b66"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*6mv61MS4hUsehKestjD1tA.png"><figcaption></figcaption></figure><figure id="843e"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*BS_dVnQOsJMiEFdSCInNaw.png"><figcaption></figcaption></figure><figure id="3613"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*Gm7fwmyLJFNX1FE9lcnLGg.png"><figcaption></figcaption></figure><h2 id="d965">Convergence in Distribution and Almost Sure Convergence</h2><figure id="0f34"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*NAtZg6jR3Bsuu15u9Dc8mA.png"><figcaption></figcaption></figure><figure id="bc53"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*xQJlIAix_k7Xf8D5QdTy_Q.png"><figcaption></figcaption></figure><h2 id="d4ef">W.L.L. and S.L.L.</h2><figure id="f623"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*pkD5yldznSDK65jWD8zCpw.png"><figcaption></figcaption></figure><figure id="0488"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*vaKhlMrO6CW1D01cyuCKYA.png"><figcaption></figcaption></figure><h2 id="8096">Invariance Property</h2><figure id="63bd"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*e7CN2hli2N_d_gqqnq2jXw.png"><figcaption></figcaption></figure><figure id="5aa7"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*oV7AFtLTcclKbfkR8A_nfA.png"><figcaption></figcaption></figure><figure id="011c"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*5PoC6Yka4I0la7qvDyafmA.png"><figcaption></figcaption></figure><h2 id="9446">Central Limit Theorem</h2><figure id="8168"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*A0vTQY3qFhPkeLXi5m5Qag.png"><figcaption></figcaption></figure><p id="6b03"><b>Estimat

Options

ion Methods</b></p><figure id="9a97"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*edVeR5_-fcb2E95w92Bgmg.png"><figcaption></figcaption></figure><figure id="59bd"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*NIDlTon6d_1s4taiaiIILQ.png"><figcaption></figcaption></figure><figure id="ea0c"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*-hpdqIpUVUXLld0RCA5AOw.png"><figcaption></figcaption></figure><h2 id="24cd">Confidence Intervals</h2><figure id="19c3"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*67acY1gM3oLROvah7Nd1rg.png"><figcaption></figcaption></figure><figure id="89ab"><img src="https://cdn-images-1.readmedium.com/v2/resize:fit:800/1*oYLNvgrWUQ1EWSCG9f__yA.png"><figcaption></figcaption></figure><h2 id="0314">Main page</h2><div id="460a" class="link-block"> <a href="https://readmedium.com/a-complete-introduction-to-time-series-analysis-with-r-9882f2d44c9d"> <div> <div> <h2>A Complete Introduction To Time Series Analysis (with R)</h2> <div><h3>During these times of the Covid19 pandemic, you have perhaps heard about the collaborative efforts to predict new…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/1*TL2PeOANEN4zG0_OqoHptQ.jpeg)"></div> </div> </div> </a> </div><h2 id="2274">Follow me at</h2><ol><li><a href="https://www.linkedin.com/in/hair-parra-526ba19b/">https://www.linkedin.com/in/hair-parra-526ba19b/</a></li><li><a href="https://github.com/JairParra">https://github.com/JairParra</a></li><li><a href="https://medium.com/@hair.parra">https://medium.com/@hair.parra</a></li></ol></article></body>

Appendix: Statistics

The Central Limit Theorem

These notes are intended to provide a “fast” collection of theoretical definitions, theorems, and concepts for Statistics as a refresher and a collection of definitions, theorems, and corollaries only, and as an Appendix to my “A Complete Introduction to Time Series Analysis” series. Although some proofs are provided, no examples are provided. A great resource to look into is the book “Mathematical Statistics with Applications” .

Note: Since I might sometimes make changes on this page by adding/updating some theorems, etc. the number of each item might not be in order or repeated. This will not be the case in the actual book~. Please don’t mind it too much!

Estimators

Bias

MSE

Consitency and Convergence in Probability

Convergence in Distribution and Almost Sure Convergence

W.L.L. and S.L.L.

Invariance Property

Central Limit Theorem

Estimation Methods

Confidence Intervals

Main page

Follow me at

  1. https://www.linkedin.com/in/hair-parra-526ba19b/
  2. https://github.com/JairParra
  3. https://medium.com/@hair.parra
Probability
Statistics
Mathematics
Timeseries
Forecasting
Recommended from ReadMedium