ScholarLens Back to search
1979•Andalas University Repository (Andalas University)Requires access

Sampling Design and Statistical Methods for Environmental Biologists

Roger H. Green

Open publisher page 1,559 citations

Abstract

INTRODUCTION. Purpose and Relation to Existing Literature. Background Assumed. Organization and Emphasis. PRINCIPLES. General Review. The Example. Ten Principles. DECISIONS. Introduction. Optimal Impact Study Design. Optimal and Suboptimal Designs--The Main Sequences. Forms of Simple Variables. Derived Variables. Selection of Variables. Biological Variables in Special Areas. Estimation of Necessary Sample Size, Number, and Allocation. Data Screening Before Analysis. Computer Programs. Visual Display of Results. SEQUENCES. Main Sequence 1: Permits an Optimal Impact Study Design. Main Sequence 2: Impact Inferred from Temporal Change Alone. Main Sequence 3: Baseline or Monitoring Study. Main Sequence 4: Impact Must Be Inferred from Spatial Pattern Alone. Main Sequence 5: When and Where? Is the Question. References. Index.

About this research paper

What this paper is about

INTRODUCTION. Purpose and Relation to Existing Literature. Background Assumed. Organization and Emphasis. PRINCIPLES. General Review. The Example. Ten Principles. DECISIONS. Introduction. Optimal Impact Study Design. Optimal and Suboptimal Designs--The Main Sequences. Forms of Simple Variables. Derived Variables. Selection of Variables. Biological Variables in Special Areas. Estimation of Necessary Sample Size, Number, and Allocation. Data Screening Before Analysis. Computer Programs. Visual Display of Results. SEQUENCES. Main Sequence 1: Permits an Optimal Impact Study Design. Main Sequence 2: Impact Inferred from Temporal Change Alone. Main Sequence 3: Baseline or Monitoring Study. Main Sequence 4: Impact Must Be Inferred from Spatial Pattern Alone. Main Sequence 5: When and Where? Is the Question. References. Index.

Why it matters

OpenAlex reports 1559 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

INTRODUCTION. Purpose and Relation to Existing Literature. Background Assumed. Organization and Emphasis. PRINCIPLES. General Review. The Example. Ten Principles. DECISIONS. Introduction. Optimal Impact Study Design. Optimal and Suboptimal Designs--The Main Sequences. Forms of Simple Variables. Derived Variables. Selection of Variables. Biological Variables in Special Areas. Estimation of Necessary Sample Size, Number, and Allocation. Data Screening Before Analysis. Computer Programs. Visual Display of Results. SEQUENCES. Main Sequence 1: Permits an Optimal Impact Study Design. Main Sequence 2: Impact Inferred from Temporal Change Alone. Main Sequence 3: Baseline or Monitoring Study. Main Sequence 4: Impact Must Be Inferred from Spatial Pattern Alone. Main Sequence 5: When and Where? Is the Question. References. Index.

Key concepts: Sequence (biology), Sampling (signal processing), Selection (genetic algorithm), Computer science, Sampling design, Relation (database), Sample size determination, Sample (material)

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Sampling Design and Statistical Methods for Environmental Biologists — Research Paper | ScholarLens