By A.W. PEARSON' 'K. HOLDEN
By A.W. PEARSON' 'K. HOLDEN
By D. R. Cox, Christl A. Donnelly
Utilized information is greater than info research, however it is straightforward to lose sight of the massive photograph. David Cox and Christl Donnelly distil a long time of clinical adventure into usable ideas for the winning software of information, exhibiting how solid statistical process shapes each level of an research. As you strengthen from examine or coverage query, to check layout, via modelling and interpretation, and eventually to significant conclusions, this booklet can be a invaluable advisor. Over 100 illustrations from a wide selection of actual purposes make the conceptual issues concrete, illuminating your course and deepening your figuring out. This booklet is key examining for an individual who makes large use of statistical tools of their paintings.
By Jessica M. Utts
This 3rd version of Jessica Utts' renowned publication develops statistical literacy and demanding pondering via real-world purposes, with an emphasis on principles, now not calculations. this article specializes in the main innovations that informed voters want to know approximately statistics. those principles are brought in attention-grabbing utilized and actual contexts, with no utilizing an abundance of technicalities and calculations that in basic terms serve to confuse scholars.
By Douglas M. McIntosh (Auth.)
By Michael Barrow
This can be a transparent and concise advent to more than a few statistical strategies and strategies for economics, accounting and enterprise students.
content material: bankruptcy 1: Descriptive statistics bankruptcy 2: likelihood bankruptcy three: likelihood distributions bankruptcy four: Estimation and self belief periods bankruptcy five: speculation checking out bankruptcy 6: Thec 2and F distributions bankruptcy 7: Correlation and regression bankruptcy eight: a number of regression bankruptcy nine: info assortment and sampling tools bankruptcy 10: Index numbers bankruptcy eleven: Seasonal adjustment of time-series information Appendices
summary: this can be a transparent and concise creation to a variety of statistical techniques and strategies for economics, accounting and enterprise scholars
By Brian S. Everitt
Multivariable Modeling and Multivariate research for the Behavioral Sciences indicates scholars how one can observe statistical easy methods to behavioral technological know-how facts in a smart demeanour. Assuming a few familiarity with introductory facts, the e-book analyzes a number of real-world info to supply invaluable solutions to real-life issues.
The writer starts by means of exploring the categories and layout of behavioral experiences. He additionally explains how versions are utilized in the research of information. After describing graphical equipment, comparable to scatterplot matrices, the textual content covers uncomplicated linear regression, in the neighborhood weighted regression, a number of linear regression, regression diagnostics, the equivalence of regression and ANOVA, the generalized linear version, and logistic regression. the writer then discusses points of survival research, linear combined results versions for longitudinal facts, and the research of multivariate facts. He additionally indicates tips to perform primary parts, issue, and cluster analyses. the ultimate bankruptcy offers techniques to examining multivariate observations from numerous diversified populations.
Through real-life functions of statistical method, this ebook elucidates the consequences of behavioral technological know-how reports for statistical research. It equips behavioral technology scholars with sufficient statistical instruments to assist them be triumphant in a while of their careers. options to the issues in addition to all R code and knowledge units for the examples can be found at www.crcpress.com
By Wai-Sum Chan; Wai Keung Li; Howell Tong (eds.)
This quantity contains themes akin to: invariants of strongly pseudoconvex CR manifolds; the indispensable formulation of the Pontrjagin attribute varieties on an orientated differentiable manifold; the development of tensor fields and connections at the body package deal; and mobile production structures
By Alex Reinhart
Clinical development is determined by solid learn, and strong learn wishes solid records. yet statistical research is hard to get correct, even for the easiest and brightest folks. You'd be shocked what number scientists are doing it wrong.
Statistics performed mistaken is a pithy, crucial consultant to statistical errors in glossy technological know-how that may allow you to maintain your examine blunder-free. You'll study embarrassing mistakes and omissions in contemporary examine, find out about the misconceptions and medical politics that let those blunders to occur, and start your quest to reform how you and your friends do statistics.
You'll locate suggestion on:
Asking the precise query, designing the perfect scan, selecting the best statistical research, and sticking to the plan
How to contemplate p values, value, insignificance, self assurance periods, and regression
Choosing definitely the right pattern dimension and fending off fake positives
Reporting your research and publishing your info and resource code
Procedures to stick with, precautions to take, and analytical software program that could help
Scientists: learn this concise, strong consultant that will help you produce statistically sound research.
Statisticians: supply this e-book to each person you know.
The first step towards data performed correct is records performed Wrong.
About the Author
Alex Reinhart is a information teacher and PhD pupil at Carnegie Mellon collage. He got his BS in physics on the college of Texas at Austin and does learn on finding radioactive units utilizing information and physics.
Table of Contents
Chapter 1: An advent to Statistical Significance
Chapter 2: Statistical strength and Underpowered Statistics
Chapter three: Pseudoreplication: decide on Your facts Wisely
Chapter four: The p worth and the bottom fee Fallacy
Chapter five: undesirable Judges of Significance
Chapter 6: Double-Dipping within the Data
Chapter 7: Continuity Errors
Chapter eight: version Abuse
Chapter nine: Researcher Freedom:Good Vibrations?
Chapter 10: all people Makes Mistakes
Chapter eleven: Hiding the Data
Chapter 12: What may be performed?
By Kanti V. Mardia, Peter E. Jupp
By Peter D. Congdon
Using Bayesian equipment for the research of information has grown considerably in components as diversified as utilized statistics, psychology, economics and scientific technology. Bayesian tools for express info units out to demystify glossy Bayesian tools, making them available to scholars and researchers alike. Emphasizing using statistical computing and utilized information research, this e-book presents a accomplished advent to Bayesian equipment of specific outcomes.
• reports fresh Bayesian technique for express results (binary, count number and multinomial data).
• Considers lacking facts versions thoughts and non-standard versions (ZIP and adverse binomial).
• Evaluates time sequence and spatio-temporal versions for discrete data.
• beneficial properties dialogue of univariate and multivariate techniques.
• offers a collection of downloadable labored examples with documented WinBUGS code, on hand from an ftp site.
The author’s earlier 2 bestselling titles supplied a entire advent to the idea and alertness of Bayesian versions. Bayesian types for specific info maintains to construct upon this beginning through constructing their software to express, or discrete facts – essentially the most universal varieties of information on hand. The author’s transparent and logical technique makes the ebook obtainable to a variety of scholars and practitioners, together with these facing express facts in medication, sociology, psychology and epidemiology.