New Free Online Book by Rob Hyndman on Forecasting using #Rstats

From the creator of some of the most widely used packages for time series in the R programming language comes a brand new book, and its online!

This time the book is free, will be updated and 7 chapters are ready (to read!)

. If you do forecasting professionally, now is the time to suggest your own use cases to be featured as the book gets ready by end- 2012. The book is intended as a replace­ment for Makri­dakis, Wheel­wright and Hyn­d­man (Wiley 1998).

http://otexts.com/fpp/

The book is writ­ten for three audi­ences:

(1) people find­ing them­selves doing fore­cast­ing in busi­ness when they may not have had any for­mal train­ing in the area;

(2) undergraduate stu­dents study­ing busi­ness;

(3) MBA stu­dents doing a fore­cast­ing elec­tive.

The book is dif­fer­ent from other fore­cast­ing text­books in sev­eral ways.

  • It is free and online, mak­ing it acces­si­ble to a wide audience.
  • It is con­tin­u­ously updated. You don’t have to wait until the next edi­tion for errors to be removed or new meth­ods to be dis­cussed. We will update the book frequently.
  • There are dozens of real data exam­ples taken from our own con­sult­ing prac­tice. We have worked with hun­dreds of busi­nesses and orga­ni­za­tions help­ing them with fore­cast­ing issues, and this expe­ri­ence has con­tributed directly to many of the exam­ples given here, as well as guid­ing our gen­eral phi­los­o­phy of forecasting.
  • We empha­sise graph­i­cal meth­ods more than most fore­cast­ers. We use graphs to explore the data, analyse the valid­ity of the mod­els fit­ted and present the fore­cast­ing results.

A print ver­sion and a down­load­able e-version of the book will be avail­able to pur­chase on Ama­zon, but not until a few more chap­ters are written.

Contents

(Ajay-Support the open textbook movement!)

If you’ve found this book helpful, please consider helping to fund free, open and online textbooks. (Donations via PayPal.)

Look for yourself at http://otexts.com/fpp/

 

Little Book of R For Time Series #rstats

I loved this book. Only 75 pages and very lucidly written and available on Github for free. Nice job by Avril Coghlan a.coghlan@ucc.ie

.Of course My usual suspects for Time Series Readings are –

1) The seminal pdf (2008!!) by  a certain Prof Hyndman

http://www.maths.anu.edu.au/~johnm/courses/r/ASC2008/pdf/Rtimeseries-ohp.pdf

 

2) JSS Paper -Automatic Time Series Forecasting: The forecast
Package for R http://www.jstatsoft.org/v27/i03/paper

3) The CRAN View http://cran.r-project.org/web/views/TimeSeries.html

This is cluttered and getting more and more cluttered. Some help on helping recent converts to R, especially in the field of corporate forecasting or time series for business analytics would really help.

Avril does an awesome job with this curiously named ( 😉 ) booklet  at http://a-little-book-of-r-for-time-series.readthedocs.org/en/latest/src/timeseries.html

Update!

I have been busy-

1) Finally my divorce came through. My advice – dont do it without a pre-nup ! Alimony means all the money.

2) Spending time on Quora after getting bored from LinkedIn, Twitter,Facebook,Google Plus,Tumblr, WordPress

See this answer to-

 What are common misconceptions about startups?

1) we will change the world
2) if we get 1% of a billion people market, we will be rich
3) if we have got funding, most of the job is done
4) lets pay ourselves high salaries since we got funded
5) our idea is awesome and cant be copied, improvised, stolen, replicated
6) startups are painless
7) it is a better life than a corporate career
8) long term vision is important than short term cash burn
9) we will never sell out or exit. never
10) its a great idea to make startups with friend

Say hello to me – http://www.quora.com/Ajay-Ohri/answers

3) Writing freelance articles on APIs for Programmable Web

Why write pro? See point 1)

Recent Articles-

http://blog.programmableweb.com/2012/07/30/predict-the-future-with-google-prediction-api/

http://blog.programmableweb.com/2012/08/01/your-store-in-the-cloud-google-cloud-storage-api/

http://blog.programmableweb.com/2012/07/27/the-romney-vs-obama-api/

4) Writing poetry on http://poemsforkush.com/. It now gets 23000 views a month. I wish I could say my poems were great, but the readers are kind (364 subscribers!) and also Google Image Search is very very kind.

5) Kicking tires with next book ” R for Cloud Computing” and be tuned for another writing announcement

6) Waiting for Paul Kent, VP, SAS Big Data to reply to my emails for interview after HE promised me!! You dont get to 105 interviews without being a bit stubborn!

7) Sighing on politics engulfing my American friends especially with regards to Chic-fil-A and Romney’s gaffes. Now thats what I call a first world problem! Protesting by eating or boycotting chicken sandwiches! In India we had the world’s biggest blackout two days in a row- and no one is attending the Hunger Fast against corruption protests!

8) Watching Olympics! Our glorious nation of 1.2 billion very smart people has managed to win 1 Bronze till today!! Michael Phelps has won more medals and more gold than the whole of  India has since the Olympics Games began!!

9) Consulting to pay the bills. includes writing R code, making presentations. Why consult when I have writing to do? See point 1)

10) Reading New York Times to get insights on Big Data and Analytics. Trust them- they know what they are doing!

Can Microsoft buy Facebook

At $39.23 Billion , Facebook is now cheaper than what Steve Ballmer was prepared to pay for Yahoo (when Yahoo CEO Jerry Yang famously turned him down). Can Microsoft buy Facebook? or Can Apple buy Facebook?

Both would be okay from an anti trust perspective- and both have the cash. Note you need only to buy 51% of shares for controlling and Mark Zuckerberg seems a bit down (never mind Sean Parker’s voting arrangement).

Can Google plunk 20% of FB for 8 billion – less than they paid for Motorola, so they can sell Ads there while FB concentrates on thee social aspects.

FB has innovated with good UI, apps, cassandra,the like button, the FB connect network, and of course socially targeted ads. I dont think it’s stock price deserves to be dog with fleas.

See http://finance.yahoo.com/q?s=FB

Where is a good leveraged buy out (LBO) or hedge fund when you need one?

But, Seriously.