/StatisticsForApplication_solution

Primary LanguageTeX

Solution Manual For Statistic For Applications (MIT)

Instruction

This is a Solution Manual for the famous course from MIT Statistic For Application.

The Manual is written in LaTex, and I do not omit other files generated by Tex, so that not only you can view the pdf file for solution but also others file generated by Tex. I will keep update the solutions as my learning process goes on.

There are some problems that I am not sure, which have been marked by "Waiting for update" in the solution manual. If you want to provide a solution for these unsolving problems, have any question, or come up with better ideas about any problem in the manual, please feel free to contact with me nhoang0708@gmail.com

I want to address several issues here: (1) Currently I still do not get the permission of Prof. Philippe Rigollet to upload this solution manual online. Therefore, maybe I will withdraw this solution maunal someday if it becomes illegal. (2) This solution manual is only meant to be used as personal study reference, please do not take it for other purposes, e.g., upload to other websites or publications.

Read

If you want to view only pdf files, you can clone this repository and find pdf file in each folders (There are 11 folders corresponding to 11 problem sets).

  1. PDF questions and PDF solution manual file for Problem set 1.
  2. PDF questions and PDF solution manual file for Problem set 2.
  3. PDF questions and PDF solution manual file for Problem set 3.
  4. PDF questions and PDF solution manual file for Problem set 4
  5. PDF questions and PDF solution manual file for Problem set 5.
  6. PDF questions and PDF solution manual file for Problem set 6
  7. PDF questions and PDF solution manual file for Problem set 7
  8. PDF questions for Problem set 8
  9. PDF questions for Problem set 9
  10. PDF questions and PDF solution manual file for Problem set 10
  11. PDF questions for Problem set 11

Contribute

This solution manual is work-in-progress so any kind of contributions would be appreciated. There are a few ways you can contribute to make it better:

  1. Add/edit questions
  2. Add/edit answers
  3. Others

Acknowledgments

  1. Special thanks to [Huy Nguyen] (https://github.com/nguyehuy). He provides some analytical soultions for problems in this course's assigments.

** Star if you like :) ** --Hoang Nguyen--