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Author: R. Hunt
Publisher: Springer Science & Business Media
ISBN: 940109117X
Category : Science
Languages : en
Pages : 119
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Book Description
This handbook is intended as an introductory guide to students at all levels on the principles and practice of plant growth analysis. Many have found this quantitative approach to be useful in the description and interpretation of the performance of whole plant systems grown under natural, semi-natural or controlled conditions. Most of the methods described require only simple experimental data and facilities. For the classical approach, GCSE biology and mathematics (or their equivalents) are the only theoretical backgrounds required. For the functional approach, a little calculus and statistical theory is needed. All of the topics regarding the quantitative basis of productivity recently introduced to the Biology A-level syllabus by the Joint Matriculation Board are covered. The booklet replaces my elementary Plant Growth Analysis (1978, London: Edward Arnold) which is now out of print. The presentation is very basic indeed; the opening pages give only essential outlines of the main issues. They are followed by brief, standardized accounts of each growth-analytical concept taken in turn. The illustrations deal more with the properties of well-grown material than with the effects of specific environmental changes, even though that is where much of the subject's interest lies. However, detailed references to the relevant parts of more com prehensive works appear throughout, and a later section on 'Inter relations' adds perspective. Some 'Questions and answers' may also help to show what topics will arise if the subject is pursued further.
Author: R. Hunt
Publisher: Springer Science & Business Media
ISBN: 940109117X
Category : Science
Languages : en
Pages : 119
Get Book Here
Book Description
This handbook is intended as an introductory guide to students at all levels on the principles and practice of plant growth analysis. Many have found this quantitative approach to be useful in the description and interpretation of the performance of whole plant systems grown under natural, semi-natural or controlled conditions. Most of the methods described require only simple experimental data and facilities. For the classical approach, GCSE biology and mathematics (or their equivalents) are the only theoretical backgrounds required. For the functional approach, a little calculus and statistical theory is needed. All of the topics regarding the quantitative basis of productivity recently introduced to the Biology A-level syllabus by the Joint Matriculation Board are covered. The booklet replaces my elementary Plant Growth Analysis (1978, London: Edward Arnold) which is now out of print. The presentation is very basic indeed; the opening pages give only essential outlines of the main issues. They are followed by brief, standardized accounts of each growth-analytical concept taken in turn. The illustrations deal more with the properties of well-grown material than with the effects of specific environmental changes, even though that is where much of the subject's interest lies. However, detailed references to the relevant parts of more com prehensive works appear throughout, and a later section on 'Inter relations' adds perspective. Some 'Questions and answers' may also help to show what topics will arise if the subject is pursued further.
Author: Sean Ellis
Publisher: Crown Currency
ISBN: 0451497228
Category : Business & Economics
Languages : en
Pages : 322
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Book Description
The definitive playbook by the pioneers of Growth Hacking, one of the hottest business methodologies in Silicon Valley and beyond. It seems hard to believe today, but there was a time when Airbnb was the best-kept secret of travel hackers and couch surfers, Pinterest was a niche web site frequented only by bakers and crafters, LinkedIn was an exclusive network for C-suite executives and top-level recruiters, Facebook was MySpace’s sorry step-brother, and Uber was a scrappy upstart that didn’t stand a chance against the Goliath that was New York City Yellow Cabs. So how did these companies grow from these humble beginnings into the powerhouses they are today? Contrary to popular belief, they didn’t explode to massive worldwide popularity simply by building a great product then crossing their fingers and hoping it would catch on. There was a studied, carefully implemented methodology behind these companies’ extraordinary rise. That methodology is called Growth Hacking, and it’s practitioners include not just today’s hottest start-ups, but also companies like IBM, Walmart, and Microsoft as well as the millions of entrepreneurs, marketers, managers and executives who make up the community of Growth Hackers. Think of the Growth Hacking methodology as doing for market-share growth what Lean Start-Up did for product development, and Scrum did for productivity. It involves cross-functional teams and rapid-tempo testing and iteration that focuses customers: attaining them, retaining them, engaging them, and motivating them to come back and buy more. An accessible and practical toolkit that teams and companies in all industries can use to increase their customer base and market share, this book walks readers through the process of creating and executing their own custom-made growth hacking strategy. It is a must read for any marketer, entrepreneur, innovator or manger looking to replace wasteful big bets and "spaghetti-on-the-wall" approaches with more consistent, replicable, cost-effective, and data-driven results.
Author: Yin Bun Cheung
Publisher: CRC Press
ISBN: 143987154X
Category : Mathematics
Languages : en
Pages : 380
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Book Description
Statistical Analysis of Human Growth and Development is an accessible and practical guide to a wide range of basic and advanced statistical methods that are useful for studying human growth and development. Designed for nonstatisticians and statisticians new to the analysis of growth and development data, the book collects methods scattered throughout the literature and explains how to use them to solve common research problems. It also discusses how well a method addresses a specific scientific question and how to interpret and present the analytic results. Stata is used to implement the analyses, with Stata codes and macros for generating example data sets, a detrended Q-Q plot, and weighted maximum likelihood estimation of binary items available on the book’s CRC Press web page. After reviewing research designs and basic statistical tools, the author discusses the use of existing tools to transform raw data into analyzable variables and back-transform them to raw data. He covers regression analysis of quantitative, binary, and censored data as well as the analysis of repeated measurements and clustered data. He also describes the development of new growth references and developmental indices, the generation of key variables based on longitudinal data, and the processes to verify the validity and reliability of measurement tools. Looking at the larger picture of research practice, the book concludes with coverage of missing values, multiplicity problems, and multivariable regression. Along with two simulated data sets, numerous examples from real experimental and observational studies illustrate the concepts and methods. Although the book focuses on examples of anthropometric measurements and changes in cognitive, social-emotional, locomotor, and other abilities, the ideas are applicable to many other physical and psychosocial phenomena, such as lung function and depressive symptoms.
Author: Kevin J. Grimm
Publisher: Guilford Publications
ISBN: 1462526063
Category : Social Science
Languages : en
Pages : 558
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Book Description
Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in R), discussion of the output, and interpretation of each model's results. User-Friendly Features *Real, worked-through longitudinal data examples serving as illustrations in each chapter. *Script boxes that provide code for fitting the models to example data and facilitate application to the reader's own data. *"Important Considerations" sections offering caveats, warnings, and recommendations for the use of specific models. *Companion website supplying datasets and syntax for the book's examples, along with additional code in SAS/R for linear mixed-effects modeling.
Author: Jules Janick
Publisher: John Wiley & Sons
ISBN: 0470650761
Category : Science
Languages : en
Pages : 477
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Book Description
Horticultural Reviews presents state-of-the-art reviews on topics in horticultural science and technology covering both basic and applied research. Topics covered include the horticulture of fruits, vegetables, nut crops, and ornamentals. These review articles, written by world authorities, bridge the gap between the specialized researcher and the broader community of horticultural scientists and teachers.
Author: Donella H. Meadows
Publisher: Universe Pub
ISBN: 9780876632222
Category : Economic development.
Languages : en
Pages : 0
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Book Description
Examines the factors which limit human economic and population growth and outlines the steps necessary for achieving a balance between population and production. Bibliogs
Author: W. W. Rostow
Publisher: Oxford University Press
ISBN: 0195359798
Category : Business & Economics
Languages : en
Pages : 733
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Book Description
This history of theories and theorists of economic growth elucidates the economic theory, economic history, and public policy observations of the renowned scholar W. W. Rostow. Looking at the economic growth theories of the classic economists up to 1870, Rostow compares Hume and Adam Smith, Malthus and Ricardo, and J.S. Mill and Karl Marx. He then examines the period 1870-1939 and its economic theorists, including Schumpeter, Colin Clark, Kuznets, and Harrod, and surveys the three forms of growth analysis in the postwar era: formal models, statistical morphology, and development theories. This authoritative overview also includes an agenda of unresolved problems in growth analysis and a description of the five major tasks statesmen will confront over the next several generations.
Author: Rena Mourouzi-Sivitanidou
Publisher: Routledge
ISBN: 100006316X
Category : Architecture
Languages : en
Pages : 555
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Book Description
Market Analysis for Real Estate is a comprehensive introduction to how real estate markets work and the analytical tools and techniques that can be used to identify and interpret market signals. The markets for space and varied property assets, including residential, office, retail, and industrial, are presented, analyzed, and integrated into a complete understanding of the role of real estate markets within the workings of contemporary urban economies. Unlike other books on market analysis, the economic and financial theory in this book is rigorous and well integrated with the specifics of the real estate market. Furthermore, it is thoroughly explained as it assumes no previous coursework in economics or finance on the part of the reader. The theoretical discussion is backed up with numerous real estate case study examples and problems, which are presented throughout the text to assist both student and teacher. Including discussion questions, exercises, several web links, and online slides, this textbook is suitable for use on a variety of degree programs in real estate, finance, business, planning, and economics at undergraduate and MSc/MBA level. It is also a useful primer for professionals in these disciplines.
Author: G.A. Hendry
Publisher: Springer Science & Business Media
ISBN: 9401114943
Category : Science
Languages : en
Pages : 268
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Book Description
Methods in Comparative Plant Ecology: A laboratory manual is a sister book to the widely acclaimed Comparative Plant Ecology by Grime, Hodgson and Hunt. It contains details on some 90 critical concise diagnostic techniques by over 40 expert contributors. In one volume it provides an authoritative bench-top guide to diagnostic techniques in experimental plant ecology.
Author: Raja Velu
Publisher: Springer Science & Business Media
ISBN: 1475728530
Category : Mathematics
Languages : en
Pages : 269
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Book Description
In the area of multivariate analysis, there are two broad themes that have emerged over time. The analysis typically involves exploring the variations in a set of interrelated variables or investigating the simultaneous relation ships between two or more sets of variables. In either case, the themes involve explicit modeling of the relationships or dimension-reduction of the sets of variables. The multivariate regression methodology and its variants are the preferred tools for the parametric modeling and descriptive tools such as principal components or canonical correlations are the tools used for addressing the dimension-reduction issues. Both act as complementary to each other and data analysts typically want to make use of these tools for a thorough analysis of multivariate data. A technique that combines the two broad themes in a natural fashion is the method of reduced-rank regres sion. This method starts with the classical multivariate regression model framework but recognizes the possibility for the reduction in the number of parameters through a restrietion on the rank of the regression coefficient matrix. This feature is attractive because regression methods, whether they are in the context of a single response variable or in the context of several response variables, are popular statistical tools. The technique of reduced rank regression and its encompassing features are the primary focus of this book. The book develops the method of reduced-rank regression starting from the classical multivariate linear regression model.
