Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Use coupon code “FEBRUARY20” for a 20% discount on all items! Valid until 28-02-2025

Site Logo

Royal Mail  express delivery to UK destinations

Regular sales and promotions

Stock updates every 20 minutes!

Sampling Theory: For the Ecological and Natural Resource Sciences

Out of stock

Firm sale: non returnable item
SKU 9780198815808 Categories ,
Select Guide Rating
This introductory text is specifically targeted at ecologists and resource scientists, illustrating how sampling theory can be applied in a wide variety of resource contexts. The emphasis throughout is on design-based sampling from finite populations but attention is also give...

£52.00

Buy new:

Delivery: UK delivery Only. Usually dispatched in 1-2 working days.

Shipping costs: All shipping costs calculated in the cart or during the checkout process.

Standard service (normally 2-3 working days): 48hr Tracked service.

Premium service (next working day): 24hr Tracked service – signature service included.

Royal mail: 24 & 48hr Tracked: Trackable items weighing up to 20kg are tracked to door and are inclusive of text and email with ‘Leave in Safe Place’ options, but are non-signature services. Examples of service expected: Standard 48hr service – if ordered before 3pm on Thursday then expected delivery would be on Saturday. If Premium 24hr service used, then expected delivery would be Friday.

Signature Service: This service is only available for tracked items.

Leave in Safe Place: This option is available at no additional charge for tracked services.

Description

Product ID:9780198815808
Product Form:Paperback / softback
Country of Manufacture:GB
Title:Sampling Theory
Subtitle:For the Ecological and Natural Resource Sciences
Authors:Author: David G. Hankin, Michael S. Mohr, Kenneth B. Newman
Page Count:360
Subjects:Probability and statistics, Probability & statistics, Applied mathematics, Maths for scientists, Biology, life sciences, Applied ecology, Applied mathematics, Maths for scientists, Biology, life sciences, Applied ecology
Description:Select Guide Rating
This introductory text is specifically targeted at ecologists and resource scientists, illustrating how sampling theory can be applied in a wide variety of resource contexts. The emphasis throughout is on design-based sampling from finite populations but attention is also given to model-based prediction and sampling from infinite populations.
Sampling theory considers how methods for selection of a subset of units from a finite population (a sample) affect the accuracy of estimates of descriptive population parameters (mean, total, proportion). Although a sound knowledge of sampling theory principles would seem essential for ecologists and natural resource scientists, the subject tends to be somewhat overlooked in contrast to other core statistical topics such as regression analysis, experimental design, and multivariate statistics. This introductory text aims to redress this imbalance by specifically targeting ecologists and resource scientists, and illustrating how sampling theory can be applied in a wide variety of resource contexts. The emphasis throughout is on design-based sampling from finite populations, but some attention is given to model-based prediction and sampling from infinite populations.^l Sampling Theory is an introductory textbook suitable for advanced undergraduates, graduate students, professional researchers, and practitioners in the fields of ecology, evolution, conservation biology, and natural resource sciences (including fisheries, wildlife, rangeland, ecology and forestry).
Imprint Name:Oxford University Press
Publisher Name:Oxford University Press
Country of Publication:GB
Publishing Date:2019-10-01