To see accurate pricing, please choose your delivery country.
United States
All Shops
EU Shipping Update - read more

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 £22 per year
Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Confidence, Likelihood and Probability Statistical Inference with Confidence Distributions

By: Tore Schweder(Author), Nils Lid Hjort(Author)
544 pages, 147 b/w illustrations, 17 tables
Confidence, Likelihood and Probability
Click to have a closer look
  • Confidence, Likelihood and Probability ISBN: 9780521861601 Hardback Feb 2016 Not in stock: Usually dispatched within 6 days
Price: £71.99
About this book Contents Customer reviews Biography Related titles

About this book

This lively book Confidence, Likelihood and Probability lays out a methodology of confidence distributions and puts them through their paces. Among other merits, they lead to optimal combinations of confidence from different sources of information, and they can make complex models amenable to objective and indeed prior-free analysis for less subjectively inclined statisticians. The generous mixture of theory, illustrations, applications and exercises is suitable for statisticians at all levels of experience, as well as for data-oriented scientists. Some confidence distributions are less dispersed than their competitors.

This concept leads to a theory of risk functions and comparisons for distributions of confidence. Neyman-Pearson type theorems leading to optimal confidence are developed and richly illustrated. Exact and optimal confidence distribution is the gold standard for inferred epistemic distributions. Confidence distributions and likelihood functions are intertwined, allowing prior distributions to be made part of the likelihood. Meta-analysis in likelihood terms is developed and taken beyond traditional methods, suiting it in particular to combining information across diverse data sources.


1. Confidence, likelihood, probability: an invitation
2. Interference in parametric models
3. Confidence distributions
4. Further developments for confidence distribution
5. Invariance, sufficiency and optimality for confidence distributions
6. The fiducial argument
7. Improved approximations for confidence distributions
8. Exponential families and generalised linear models
9. Confidence distributions in higher dimensions
10. Likelihoods and confidence likelihoods
11. Confidence in non- and semiparametric models
12. Predictions and confidence
13. Meta-analysis and combination of information
14. Applications
15. Finale: summary, and a look into the future.

Customer Reviews


Tore Schweder is a Professor of Statistics in the Department of Economics and at the Centre for Ecology and Evolutionary Synthesis at the University of Oslo. Nils Lid Hjort is Professor of Mathematical Statistics in the Department of Mathematics at the University of Oslo.

By: Tore Schweder(Author), Nils Lid Hjort(Author)
544 pages, 147 b/w illustrations, 17 tables
Media reviews

Advance praise:

"This book presents a detailed and wide-ranging account of an approach to inference that moves the discipline towards increased cohesion, avoiding the artificial distinction between testing and estimation. Innovative and thorough, it is sure to have an impact both in the foundations of inference and in a wide range of practical applications of inference."
– Nancy Reid, University Professor of Statistical Sciences, University of Toronto

"I recommend this book very enthusiastically to any researcher interested in learning more about advanced likelihood theory, based on concepts like confidence distributions and fiducial distributions, and their links with other areas. The book explains in a very didactical way the concepts, their use, their interpretation, etc., illustrated by an impressive number of examples and data sets from a wide range of areas in statistics."
– Ingrid Van Keilegom, Université Catholique de Louvain

Current promotions
Weekend offer on BooksBest of WinterNHBS Moth TrapBat Surveys for Professional Ecologists