Principles and Practices of Unbiased Stereology pdf epub mobi txt 电子书下载 2026

简体网页||繁体网页

☆☆☆☆☆

出版者:Johns Hopkins Univ Pr

作者:Mouton, Peter R.

出品人:

页数:232

译者:

出版时间:2002-5

价格:$ 45.20

装帧:Pap

isbn号码:9780801867972

丛书系列:

图书标签:

Stereology
Quantitative Microscopy
Image Analysis
Biostatistics
Neuroscience
Pathology
Materials Science
Volume Estimation
Length Estimation
Counting Techniques

下载链接在页面底部

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 复制链接

想要找书就要到图书目录大全

book.wenda123.org

立刻按 ctrl+D收藏本页

你会得到大惊喜!!

具体描述

Beginning in the 1960s, scientists across a wide range of disciplines cooperated in developing unbiased-or assumption free-stereology, based on stochastic geometry and probability theory, as a way to estimate the parameters of irregularly shaped objects without introducing bias. In recent years these new estimation techniques, which were originally quite painstaking and time consuming, have made a great deal of headway in disciplines such as neuroscience, thanks in part to the development of computer software for their application. Prestigious journals and grant-giving organizations now require the use of unbiased stereology in the projects that they support, and this trend is expected to continue. Principles and Practices of Unbiased Stereology will fill a need in the biomedical community as a clear, user-friendly introduction to this area for the increasing number of scientists who need to learn these techniques for their research. The work moves logically from a discussion of the historical background of stereology to full explanations of terms, concepts,and tools, with the latter part of the manuscript devoted to typical stereology designs. An associated web site will feature color illustrations and video clips demonstrating stereological techniques.

这本书聚焦于不偏见统计学中的原理和实践，旨在帮助读者深入理解如何在研究中消除主观偏差，提升科学结论的可靠性与公正性。文章详细解析了传统统计方法背后的理论基础，并通过实际案例说明其应用场景。在内容设计上，这本书注重系统性地梳理不偏统计学的发展历程，从早期统计学家对数据收集的思考，到现代研究中技术手段的不断革新。书中不仅介绍了常见的统计工具和方法，还强调如何在不同研究领域引入科学标准，以确保结果的客观性。作者深入探讨了不偏统计学在生物医学、社会科学以及环境研究等多个领域的重要作用，展示了其对实际问题的深刻影响。这部分内容特别注重强调，不偏分析不仅是技术要求，更是一种思维方式的转变。书中通过详细分析数据处理过程中的潜在误差源，帮助读者培养严谨的科学态度和批判性思维能力。文章结构清晰，语言专业，内容涵盖了统计学原理、方法论选择、实际操作技巧以及伦理考量。这些章节不仅为初学者提供了理论框架，也对中高级研究人员有重要的指导意义。书中还特别关注如何在复杂数据环境中识别和规避偏差，增强研究的透明性与公信力。对于读者来说，这本书是一份全面而深刻的参考资料，能够提升其对统计学的理解水平，同时为学术研究提供有价值的工具支持。内容不仅具有理论深度，还兼顾了实践中的可操作性，帮助读者在面对多样化数据时保持独立思考和严谨判断。整个书籍以逻辑严密、语言准确的形式呈现，对希望掌握不偏统计学精髓的人来说无二佳。书中对各类案例的详细剖析使读者能够更直观地感受到不偏方法在不同情境下的实际意义。这种重视细节、注重实践的写作风格，使得这本书成为专业研究与教育的有力补充。通过系统学习其中的理念和技巧，读者不仅能理解统计学的基本原理，更能掌握有效应用这些知识的方法，为未来的学术探索奠定坚实基础。