CRC Press Inc Introduction to Probability

Several texts on probability theory adorn my bookshelf but Introduction to Probability by Blitzstein and Hwang is by far and away my favourite. The authors really do live up to their commitment to develop probability concepts via intuition rather than mathematical rigor. I very much enjoyed their take and would recommend the text to anyone seeking a good foundation in probability.

Five stars through and through. I first stumbled on Professor Blitzstein’s statistics 110 lecture series on iTunesU when I was trying to learn more about a statistical test I came across in a scientific paper. I watched lecture one out of curiosity and was hooked. This is the class I wish I took in college! Professor Blitzstein is a gifted teacher and the manner in which he lays out the foundations of probability from the absolute ground up is outstanding. All his lectures are given using nothing but a black and white chalkboard. No powerpoint, no animation: this is classroom instruction at its purest. Even just watching these videos on the computer, I felt I was right there in the lecture hall with Dr. Blitzstein thinking about the material together; interacting in a way that belies the size and scope of a MOOC.While going through the lecture series, I could not help but wish there were a textbook I could study from: something that spelled things out just a bit more; provided a few more examples; walked me through things a little bit slower. Enter Introduction to Probability. While I’m sure it could function perfectly well as a standalone text, this is truly the companion textbook to the course. It follows the same syllabus, has many of the same examples and includes all the homework and “strategic practice” problems for which there are full solutions online (and tons more). In addition, it provides more detailed explanations and of course, being a written document, allows you to pace yourself and review past material more easily than a lecture series could. I find myself frequently flipping back and forth, even if only to review the naïve and non-naïve definitions of probability. I have had so much fun learning from Dr. Blitzstein (and co-author Jessica Hwang) – more than I could ever have imagined on this subject. He brings the material to life and even though I am not in the field, I find myself thinking about uncertainty and probability all the time in my own work (anesthesiology).

Ich habe mir dieses Buch aufgrund der zahlreichen positiven Rezensionen zugelegt. Ohne Zweifel ist dies das "Beste Lehrbuch" zum Thema Wahrscheinlichkeitsrechnung!!!Ich wünschte, dieses Lehrbuch hätte es bereits gegeben, als ich noch auf der Uni war (ist lange Zeit her!). Der Autor hat das unmögliche geschaffen: ein Lehrbuch(!), das man nicht weglegen möchte. Die Erklärungen sind so vielseitig und schaffen es immer wieder, neben der Theorie ein hohes Maß an Intuition zu komplexen Sachzusammenhängen zu entwickeln - im Bereich Wahrscheinlichkeitsrechnung ganz gewiss kein leichtes Unterfangen.Ich kann nur jedem Studenten im Bereich angewandte und Wirtschaftsmathematik nahe legen, dieses Buch intensiv zu lesen. Ich würde sogar soweit gehen, dies als Pflichtlektüre für jeden Mathelehrer am Gymnasium zu machen. Denn allein die Beispiele und Erklärungen in Kapitel 1 und 2 würden jeden Matheunterricht am Gymnasium enorm bereichern. ... mir sind noch die schrecklichen Mathebücher meiner Söhne in der Kollegstufe in Erinnerung - was für ein Mittelmaß im Vergleich zu diesem Lehrbuch!Und abschließend möchte ich dieses Buch jedem angehenden "Data Scientist" wärmstens empfehlen. Denn ein intuitives Verständnis von Themen im Bereich der Wahrscheinlichkeitsrechnung ist ein extrem wertvoller Schatz in diesem Metier.

Absolutely love this book, it's a great first book and it doesn't gloss over details. Lots of good exercises. Really covers the fundamentals.

That is a great book on probability. Sometimes it takes days, even weeks to understand a chapter. In the end, however, you will realise that this is everything you were looking for in an introduction to statistics.I wish I had it in my recommended reading at UNI when I first started learning statistics. It will give you the confidence that you understand why that normal distribution is so important and why it is used all the time. On your way to the central limit theorem you will also learn a lot of useful stuff.