Statistical ideas and methods underlie just about every aspect of modern life From randomized clinical trials in medical research, to statistical models of risk in banking and hedge fund industries, to the statistical tools used to probe vast astronomical databases, the field of statistics has become centrally important to how we understand our world But the discipline underlying all these is not the dull statistics of the popular imagination Long gone are the days of manual arithmetic manipulation Nowadays statistics is a dynamic discipline, revolutionized by the computer, which uses advanced software tools to probe numerical data, seeking structures, patterns, and relationships This Very Short Introduction sets the study of statistics in context, describing its history and giving examples of its impact, summarizes methods of gathering and evaluating data, and explains the role played by the science of chance, of probability, in statistical methods The book also explores deep philosophical issues of induction how we use statistics to discern the true nature of reality from the limited observations we necessarily must make.About the Series Combining authority with wit, accessibility, and style, Very Short Introductions offer an introduction to some of life s most interesting topics Written by experts for the newcomer, they demonstrate the finest contemporary thinking about the central problems and issues in hundreds of key topics, from philosophy to Freud, quantum theory to Islam....
|Title||:||Statistics: A Very Short Introduction (Very Short Introductions)|
|Format Type||:||Kindle Edition|
|Publisher||:||Oxford University Press 23 Oktober 2008|
|Number of Pages||:||136 Seiten|
|File Size||:||678 KB|
|Status||:||Available For Download|
|Last checked||:||21 Minutes ago!|
Statistics: A Very Short Introduction (Very Short Introductions) Reviews
Good book for someone who has no background, but not for people with prior knowledge. May a bit more formulaso would make it better
This “Very Short Introduction” has two aims – to show 1. that statistics affects most areas of our lives (including credit card fraud detection, pharmaceutical test studies, or even reasoning over legal guilt) as well as most sciences, and that 2. statistics is not merely concerned with the analysis of larger data sets better left to the specialist but indeed allows “to grasp the underlying reality” beneath the (numerical) phenomena.David Hand’s self-declared intention is to provide “a high-level view, a bird’s eye view, of the entire discipline, trying to convey the nature of statistical philosophy, ideas, tools, and methods” (p. 2), and he wants to present the subject of statistics as a modern science. He does not want to “teach the mechanics of statistical methods”. If this was the focus, it would need a more detailed and technical approach to cover the different branches and methods of the whole discipline of statistics.As a result, the book is not written based on mathematics, and the arguments can be followed easily.This book instead gives many real-life examples and primarily wants to show why statistics is in fact needed to analyse different questions arising from data or experiments, and how this makes statistics “the art of discovery” (p. 114). It introduces some statistical terminology and covers e. g. data sets, probability, inference, modelling and statistical computing.If you pick up this book with some background in statistical analysis, it may not tell you too many new things. But if you are looking for a general orientation on this subject matter, certainly the author’s enthusiastic and engaging writing style will fascinate. He does very well to demonstrate that statistics is not some ivory tower project but deals with common or scientific problems concerning empirical data.One thing I found missing though is the use of more figures (there are just 8 figures overall included in 7 chapters making up 114 pages of text). Many statistical problems can be in some way illustrated or visualised and thereby made more accessible. This volume is one of the more under-illustrated VSIs.One may want to pick up this book as a general overview but not as a guide for a specific statistical problem. As such an overview, it gives a lot of examples and insights, and makes a very good read!
David J. Hand is well known for his famous book Principles of Data Mining. He also wrote an introductory book Statistics - A Very Short Introduction. This 124 pages book is a journey in the world of statistics. Although the book is mainly for beginners, it is a refreshing reminder for statisticians and people in related fields such as data mining and machine learning. Hand covers data collection and processing, summary statistics, selection bias, missing data, probabilities and inference, among others. He has the (rare) faculty to explain statistics without equations and graphs. Really advised!
Although excellent overall, the VSI series is variable in quality, with some gems (Psychology, Anthropology, et al) and some dross (Architecture, Locke, et al). This particular entry is somewhere in the middle. It starts very well but gets bogged down somewhat toward the end.A problem that runs through the series is the inordinate number of typos - the proofreading in the earlier editions was very poor. OUP seems to have fixed this, and I am happy to say I saw no errors in this book.But another recurrent problem with the series - poor use of illustrations - does afflict this book, except that here it is simply the paucity of illustrations that is the problem. Statistics is a very visual subject and there are ideas which are very simple when presented in graphical form but extremely difficult otherwise. In the second half of this book, from chapter 4 onwards, when things get technical, there is a need for a great many illustrations, almost on every page. In fact, there are only eight illustrations in the entire book. Ironically, three of those are in a brief section called Statistical Graphics and do not relate to anything described in the text but are used simply to illustrate how helpful graphics can be! Hence, the second half of the book is much heavier going than it need be.There is however much that is good in the book. There is a useful emphasis on the difficulty and importance of collecting good quality data. This, and a reference to the Sally Clark case, are among the ways the author grounds the subject in reality. He presents a good case for statistics being at the very heart of a great many disciplines.So, a good short introduction, spoiled by having too few illustrations.[PeterReeve]
Deep and concise explanations of the true nature of statistics and a great coverage makes this book a stellar piece of work, nothing less than what we could expect from a master in the field. A true big small book.
Being a statistician means never to have to say you are certainThe real magic comes from our statistical anslysis teqm
A great overview if you want a basic understanding of statistics.