عنوان

From experimental network to meta-analysis :

شابک

940241696X

شابک

9402416978

شابک

9402416986

شابک

9789402416961

شابک

9789402416978

شابک

9789402416985

شابک اشتباه

9402416951

شابک اشتباه

9789402416954

عنوان اصلي

From experimental network to meta-analysis :

نام عام مواد

[Book]

ساير اطلاعات عنواني

methods and applications with R for agronomic and environmental sciences /

نام نخستين پديدآور

David Makowski, François Piraux, François Brun.

محل نشرو پخش و غیره

Dordrecht, The Netherlands :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

[2019]

نام خاص و کميت اثر

1 online resource

متن يادداشت

Includes bibliographical references.

متن يادداشت

Chapter 1. Introduction and examples -- Part I. Analysis of experimental networks -- Chapter 2. Basic Concepts -- Chapter 3. Analysis of network of experiments in blocks of complete randomness as a studied factor -- Chapter 4. Advanced Methods for Network Analysis -- Chapter 5. Planning an Experimental Network -- Part II. The meta-analysis -- Chapter 6. Basics for meta-analysis -- Chapter 7. Specific statistical problems for the meta-analysis -- Annex. R resources to implement the methods of analysis networks and meta-analysis -- Package Codes.

بدون عنوان

0

متن يادداشت

Data analysis plays an increasing role in research, scientific expertise and prospective studies. Multiple data sources are often available to estimate a key parameter or to test a hypothesis of scientific or societal interest. These data, obtained under different environmental conditions or based on different experimental protocols, are generally heterogeneous. Sometimes they are not even directly accessible and should be extracted from scientific articles or reports. However, a comprehensive analysis of the available data is essential to increase the accuracy of estimates, assess the validity of research conclusions and understand the origin of the variability of the experimental results. A quantitative synthesis of the data set available allows for a better understanding of the effects of explanatory factors and for evidence-based recommendations. Designed as a methodological guide, this book shows the interests and limitations of different statistical methods to analyze data from experimental networks and to perform meta-analyses. It is intended for engineers, students and researchers involved in data analysis in agronomy and environmental science. Our objective is to present the main statistical methods to analyze data from experimental networks and scientific publications. Each chapter exposes one or more methods and illustrates them with examples processed with the R software. Data and R codes are provided and commented in order to facilitate their adaptation to other situations. The codes can be reused from the KenSyn R package associated with this book.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9789402416961

عنوان

From Experimental Network to Meta-Analysis : Methods and Applications with R for Agronomic and Environmental Sciences.

شماره استاندارد بين المللي کتاب و موسيقي

9789402416954

موضوع مستند نشده

Agriculture-- Research-- Methodology.

موضوع مستند نشده

Environmental sciences-- Research-- Methodology.

موضوع مستند نشده

R (Computer program language)

موضوع مستند نشده

System analysis.

موضوع مستند نشده

Agriculture-- Research-- Methodology.

موضوع مستند نشده

Environmental sciences-- Research-- Methodology.

موضوع مستند نشده

R (Computer program language)

موضوع مستند نشده

System analysis.

موضوع مستند نشده

TEC003000

موضوع مستند نشده

TVB

موضوع مستند نشده

TVB

شماره

ويراست

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Makowski, David

مستند نام اشخاص تاييد نشده

Brun, Francois,1979-

مستند نام اشخاص تاييد نشده

Piraux, François

تاريخ عمليات

20200823215450.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y