Practical Statistics for Environmental and Biological Scientists

John Townend

  • 出版商: GL高立
  • 出版日期: 2002-03-12
  • 售價: $750
  • 貴賓價: 9.8$735
  • 語言: 英文
  • 頁數: 288
  • 裝訂: Paperback
  • ISBN: 0471496650
  • ISBN-13: 9780471496656
  • 相關分類: 機率統計學 Probability-and-statistics
  • 下單後立即進貨 (約5~7天)

買這商品的人也買了...

商品描述

Description:

All students and researchers in environmental and biological sciences require statistical methods at some stage of their work. Many have a preconception that statistics are difficult and unpleasant and find that the textbooks available are difficult to understand.

Practical Statistics for Environmental and Biological Scientists provides a concise, user-friendly, non-technical introduction to statistics. The book covers planning and designing an experiment, how to analyse and present data, and the limitations and assumptions of each statistical method. The text does not refer to a specific computer package but descriptions of how to carry out the tests and interpret the results are based on the approaches used by most of the commonly used packages, e.g. Excel, MINITAB and SPSS. Formulae are kept to a minimum and relevant examples are included throughout the text.

 

Table of Contents:

Preface

Part I STATISTICS BASICS

Introduction

A Brief Tutorial on Statistics

Before You Start

Designing an Experiment or Survey

Exploratory Data Analysis and Data Presentation

Common Assumptions or Requirements of Data for Statistical Tests

Part II STATISTICAL METHODS

t-tests and F-tests

Analysis of Variance

Correlation and Regression

Mulitvariate ANOVA

Repeated Measures

Chi-square Tests

Non-parametric Tests

Principal Component Analysis

Cluster Analysis

Appendices

Bibliography

Index

商品描述(中文翻譯)

描述:



所有環境和生物科學的學生和研究人員在他們的工作中都需要統計方法。許多人對統計學有著困難和不愉快的先入之見,並發現現有的教科書難以理解。


《環境和生物科學的實用統計學》提供了一個簡潔、使用友好、非技術性的統計學介紹。本書涵蓋了實驗的計劃和設計、數據的分析和呈現,以及每種統計方法的限制和假設。本文並未提及特定的電腦軟件,但對於如何進行測試和解釋結果的描述是基於大多數常用軟件(如Excel、MINITAB和SPSS)的方法。公式被保持在最低限度,並且在整個文本中包含相關的例子。


 



目錄:



前言


第一部分 統計學基礎


介紹


統計學簡介


開始之前


實驗或調查的設計


探索性數據分析和數據呈現


統計測試的常見假設或要求


第二部分 統計方法


t檢驗和 F檢驗


變異數分析


相關和回歸


多變量變異數分析


重複測量


卡方檢驗


非參數檢驗


主成分分析


聚類分析


附錄


參考文獻


索引