To see accurate pricing, please choose your delivery country.
United States
All Shops

British Wildlife

8 issues per year 84 pages per issue Subscription only

British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published eight times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

Subscriptions from £33 per year

Conservation Land Management

4 issues per year 44 pages per issue Subscription only

Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

Subscriptions from £26 per year
Academic & Professional Books  Reference  Data Analysis & Modelling  Study Design, Monitoring & Sampling

Sampling Algorithms

By: Yves Tillé
245 pages, no illustrations
Publisher: Springer Nature
Sampling Algorithms
Click to have a closer look
  • Sampling Algorithms ISBN: 9780387308142 Hardback Mar 2006 Not in stock: Usually dispatched within 1-2 weeks
Price: £129.99
About this book Contents Customer reviews Related titles

About this book

Over the last few decades, important progresses in the methods of sampling have been achieved. This book draws up an inventory of new methods that can be useful for selecting samples. Forty-six sampling methods are described in the framework of general theory. The algorithms are described rigorously, which allows implementing directly the described methods.
This book is aimed at experienced statisticians who are familiar with the theory of survey sampling.


Introduction and Overview.- Population, Sample and Sampling Design.- Sampling Algorithms.- Simple Random Sampling.- Unequal Probability Exponential Designs.- The Splitting Method.- More on Unequal Probability Designs.- Balanced Sampling.- An Example of The Cube Method.

Customer Reviews

By: Yves Tillé
245 pages, no illustrations
Publisher: Springer Nature
Media reviews

From the reviews: "As well as containing much new material, the book succeeds in providing a systematic development for what often seems a collection of isolated and ad hoc methods." A.J. Scott for Short Book Reviews of the ISI, December 2006 "This book draws up an inventory of new methods that can be useful for selecting samples. ! The book is well-organized and lucidly written. It maintains a very high level of mathematical rigor and, at the same time, its contents have direct practical applicability. The numerous examples as well as the extensive list of references will endear it to the readers. Overall, this is an outstanding book which will be of great value to anyone interested in the theory of survey sampling." (Rahul Mukerjee, Zentralblatt MATH, Vol. 1099 (1), 2007) "This book is a state-of-the-art of sampling techniques different from 'order sampling', and its author takes this opportunity to clarify his own points of view and contribution to the topic, mainly with some emphasis on joint inclusion probabilities and the use of the so-called cube method to select balanced samples. ! Forty-six algorithms are described. The book is clear, easy to read and could be used as a textbook to teach the topic ! ." (Guy Jumarie, Mathematical Reviews, Issue 2007 c) "A comprehensive overview of ! sampling algorithms, in a very clear and comprehensible way. The concise presentation of many sampling algorithms enables interested practitioners to easily apply or implement the methods in their own programs. ! All readers will find the list of algorithms, abbreviations, and notation very useful. ! Personally, I feel that this book is a must for any survey researcher interested in sample selection procedures. It should be of great interest for practitioners who need to implement surveys ! ." (Ralf Munnich, Journal of the American Statistical Association, Vol. 103 (481), 2008) "This book is the first one we have met devoted to the selection of samples for inference in finite populations, based on logical algorithms. The subject of the book is very important since objective inference must be based on a controlled selection of the units to be observed. ! Sampling Algorithms tries to cover some technical reflections on the artificial selection of samples of finite populations, and the author's effort is devoted to this end, which is essential for real and objective statistical science." (Mariano Ruiz Espejo, Journal of Applied Statistics, Vol. 34 (9), 2007) "The intention of this monograph is to present a rigorous, theory-based catalogue of sampling algorithms, which permits a direct implementation. ! The reader must be ! ready to educate himself in statistical theory, probability, combinatorial theory, including integer mathematical programming and related areas. ! For general evaluation of sampling algorithms, this book is highly recommended ! . Finally one should also mention the claim that all algorithms are available on the Comprehensive R Archive Network." (Gotz Uebe, Advances in Statistical Analysis, Vol. 93, 2009)

Current promotions
Field Guide SaleNHBS Moth TrapNew and Forthcoming BooksBuyers Guides