# Statistical design

Xem 1-20 trên 176 kết quả Statistical design
• ### Statistics for Health, Life and Social Sciences

There are many books concerned with statistical theory. This is not one of them. This is a practical book. It is aimed at people who need to understand statistics, but not develop it as a subject. The typical reader might be a postgraduate student in health, life or social science who has no knowledge of statistics, but needs to use quantitative methods in their studies. Students who are engaged in qualitative studies will need to read and understand quantitative studies when they do their literature reviews, this book may be of use to them.

• ### Statistics for Microarrays

This is an unusual statistics book in several respects. It attempts to explain the statistical methodology needed to answer several biological questions. This is in contrast to books that try to teach statistical techniques and hope that the reader can find the appropriate contexts in which to use them. Many an applied scientist has seen this hope turn into despair, not really due to a fault of his own.

• ### Statistics Essentials FOR DUMmIES

This book is designed to give you the essential, nitty-gritty information typically covered in a first semester statistics course. It’s bottom-line information for you to use as a refresher, a resource, a quick reference, and/or a study guide. It helps you decipher and make important decisions about statistical polls, experiments, reports and headlines with confidence, being ever aware of the ways people can mislead you with statistics, and how to handle it.

• ### Ebook Theory and Design for Mechanical Measurements, Fifth edition - Richard S. Figliola, Donald E. Beasley

Figliola and Beasleys Fifth Edition provides revised material for engineering practice with important updates on coverage of probability and statistics and uncertainty analysis, including added material on Monte Carlo simulation, digital image processing, and with revised coverage of signal acquisition, conditioning, and processing.

• ### Applied statistics for civil and environmental engineers

Applied statistics for civil and environmental engineers has many contents: Preliminary Data Analysis, Basic Probability Concepts, Random Variables and Their Properties, Model Estimation and Testing, Methods of Regression and Multivariate Analysis, Frequency Analysis of Extreme Events, Simulation Techniques for Design, Risk and Reliability Analysis, Bayesian Decision Methods and Parameter Uncertainty.

• ### Introduction to Statistics for Biomedical Engineers

There are many books written about statistics, some brief, some detailed, some humorous, some colorful, and some quite dry. Each of these texts is designed for a specific audience. Too often, texts about statistics have been rather theoretical and intimidating for those not practicing statistical analysis on a routine basis. Thus, many engineers and scientists, who need to use statistics much more frequently than calculus or differential equations, lack sufficient knowledge of the use of statistics.

• ### Understanding Statistics in the Behavioral Sciences

When sitting in statistics classes or when trying to read and understand statistical material, too many otherwise intelligent and capable students and researchers feel dumb. This book is intended as an antidote. It is designed to make you feel smart and competent. Its approach is conservative in that it attempts to identify and present the essentials of data analysis as developed by statisticians over the last two or three centuries.

• ### Beginning R The Statistical Programming Language

This book is about data analysis and the programming language called R. This is rapidly becoming the de facto standard among professionals, and is used in every conceivable discipline from science and medicine to business and engineering. R is more than just a computer program; it is a statistical programming environment and language. R is free and open source and is therefore available to everyone with a computer. It is very powerful and flexible, but it is also unlike most of the computer programs you are likely used to.

• ### Introduction to ARCHITECTURAL SCIENCE The Basis of Sustainable Design

Much has changed in the 3 years since the first edition of this book. The physics of heat, light, sound and energy is still the same, so there is little change in the first three parts. Apart from the correction of a few errors, a few new developments are mentioned, some new methods are included and statistics updated. Part 4 has many new elements that reflect societal changes, especially changes in public attitudes. Three years ago there were many who denied global warming or who regarded renewable energy technologies as ‘ kids ’ stuff ’. Today only a few of these survive.

• ### The Art of R Programming: A Tour of Statistical Software Design

The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro.

• ### File An Introduction to Statistical Signal Processing

This volume describes the essential tools and techniques of statistical signal processing. At every stage, theoretical ideas are linked to specific applications in communications and signal processing. The book begins with an overview of basic probability, random objects, expectation, and second-order moment theory, followed by a wide variety of examples of the most popular random process models and their basic uses and properties.

• ### Essentialsof Statistics for the Social and Behavioral Sciences

In the Essentials of Behavioral Science series, our goal is to provide readers with books that will deliver key practical information in an efficient, accessible style. The series features books on a variety of topics, such as statistics, psychological testing, and research design and methodology, to name just a few. For the experienced professional, books in the series offer a concise yet thorough review of a specific area of expertise, including numerous tips for best practices.

• ### Learning RStudio for R Statistical Computing

A complete practical tutorial for RStudio, designed keeping in mind the needs of analysts and R developers alike. Step-by-step examples that apply the principles of reproducible research and good programming practices to R projects. Learn to effectively generate reports, create graphics, and perform analysis, and even build R-packages with RStudio.

• ### Báo cáo khoa học: "Generation that Exploits Corpus-Based Statistical Knowledge"

We describe novel aspects of a new natural language generator called Nitrogen. This generator has a highly flexible input representation that allows a spectrum of input from syntactic to semantic depth, and shifts' the burden of many linguistic decisions to the statistical post-processor. The generation algorithm is compositional, making it efficient, yet it also handles non-compositional aspects of language. Nitrogen's design makes it robust and scalable, operating with lexicons and knowledge bases of one hundred thousand entities. ...

• ### Applied statistics and probabilty for engineers

Applied statistics and probabilty for engineers_This is an introductory textbook for a first course in applied statistics and probability for undergraduate students in engineering and the physical or chemical sciences. These individuals play a significant role in designing and developing new products and manufacturing systems and processes, and they also improve existing systems. Statistical methods are an important tool in these activities because they provide the engineer with both descriptive and analytical methods for dealing with the variability in observed data.

• ### Research Methods and Statistics in Psychology

After the domination of behaviourism in Anglo-American psychology during the middle of the century, the impression has been left, reflected in the many texts on research design, that the experimental method is the central tool of psychological research. In fact, a glance through journals will illuminate a wide array of datagathering instruments in use outside the experimental laboratory and beyond the field experiment.

• ### Báo cáo khoa học: "Statistical Modeling for Unit Selection in Speech Synthesis"

Traditional concatenative speech synthesis systems use a number of heuristics to deﬁne the target and concatenation costs, essential for the design of the unit selection component. In contrast to these approaches, we introduce a general statistical modeling framework for unit selection inspired by automatic speech recognition. Given appropriate data, techniques based on that framework can result in a more accurate unit selection, thereby improving the general quality of a speech synthesizer. They can also lead to a more modular and a substantially more efﬁcient system. ...

• ### APPLICATIONS OF MATLAB IN SCIENCE AND ENGINEERING

MATLAB (Matrix Laboratory) is a matrix-oriented tool for mathematical programming, applied for numerical computation and simulation purposes. Together with its dynamic simulation toolbox Simulink, as a graphical environment for the simulation of dynamic systems, it has become a very powerful tool suitable for a large number of applications in many areas of research and development.

• ### Data Analysis and Presentation Skills

Data Analysis and Presentation Skills: An Introduction for the Life and Medical Sciences is an invaluable text allowing students to develop appropriate key skills when designing experiments, generating results, analysing data and ultimately presenting findings to academics and referees. Taking a hands-on approach, each of these key areas is introduced clearly and carefully, showing how to access and evaluate information using a variety of resources. Basic analytical theory is gradually introduced alongside practical applications to enhance student understanding.