# krainaksiazek statistics and analysis of scientific data 20116043

- znaleziono 35 produktów w 5 sklepach

### Statistics And Scientific Method

**Książki Obcojęzyczne>Angielskie>Mathematics & science>Science: general issues>Maths for scientistsKsiążki Obcojęzyczne>Angielskie>Ma...**

An Antidote To Technique-orientated Approaches, This Text Avoids The Recipe-book Style, Giving The Reader A Clear Understanding Of How Core Statistical Ideas Of Experimental Design, Modelling, And Data Analysis Are Integral To The Scientific Method. No Pr

Sklep: Gigant.pl

### Statistics for Spatio-Temporal Data Wiley & Sons

**Książki / Literatura obcojęzyczna**

A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts and the latest computational methods§From understanding environmental processes and climate trends to developing new technologies for mapping public-health data and the spread of invasive-species, there is a high demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. Statistics for Spatio-Temporal Data presents a systematic approach to key quantitative techniques that incorporate the latest advances in statistical computing as well as hierarchical, particularly Bayesian, statistical modeling, with an emphasis on dynamical spatio-temporal models.§Cressie and Wikle supply a unique presentation that incorporates ideas from the areas of time series and spatial statistics as well as stochastic processes. Beginning with separate treatments of temporal data and spatial data, the book combines these concepts to discuss spatio-temporal statistical methods for understanding complex processes.§Topics of coverage include:§Exploratory methods for spatio-temporal data, including visualization, spectral analysis, empirical orthogonal function analysis, and LISAs§Spatio-temporal covariance functions, spatio-temporal kriging, and time series of spatial processes§Development of hierarchical dynamical spatio-temporal models (DSTMs), with discussion of linear and nonlinear DSTMs and computational algorithms for their implementation§Quantifying and exploring spatio-temporal variability in scientific applications, including case studies based on real-world environmental data§Throughout the book, interesting applications demonstrate the relevance of the presented concepts. Vivid, full-color graphics emphasize the visual nature of the topic, and a related FTP site contains supplementary material. Statistics for Spatio-Temporal Data is an excellent book for a graduate-level course on spatio-temporal statistics. It is also a valuable reference for researchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.A state-of-the-art presentation of spatio-temporal processes, bridging classic ideas with modern hierarchical statistical modeling concepts and the latest computational methods§From understanding environmental processes and climate trends to developing new technologies for mapping public-health data and the spread of invasive species, there is a high demand for statistical analyses of data that take spatial, temporal, and spatio-temporal information into account. Statistics for Spatio-Temporal Data presents a systematic approach to key quantitative techniques that incorporate the latest advances in statistical computing as well as hierarchical, particularly Bayesian, statistical modeling, with an emphasis on dynamical spatio-temporal models.§The authors supply a unique presentation that incorporates ideas from the areas of time series and spatial statistics as well as stochastic processes. Beginning with separate treatments of temporal data and spatial data, the book combines these concepts to discuss spatio-temporal statistical methods for understanding complex processes. Topics of coverage include:§Exploratory methods for spatio-temporal data, including visualization, spectral analysis, empirical orthogonal function analysis, and LISAs§Spatio-temporal covariance functions, spatio-temporal kriging, and time series of spatial processes§Development of hierarchical dynamical spatio-temporal models (DSTMs), with discussion of linear and nonlinear DSTMs and computational algorithms for their implementation§Quantifying and exploiting spatio-temporal variability in scientific applications, including case studies based on real-world environmental data§Throughout the book, interesting applications demonstrate the relevance of the presented concepts. Vivid, full-color graphics emphasize the visual nature of the topic, and a related FTP site contains supplementary material.§Statistics for Spatio-Temporal Data is an excellent book for a graduate-level course on spatio-temporal statistics. It is also a valuable reference for researchers and practitioners in the fields of applied mathematics, engineering, and the environmental and health sciences.

Sklep: Libristo.pl

### Bayesian Ideas And Data Analysis

**Książki Obcojęzyczne>Angielskie>Mathematics & science>Mathematics>Probability & statistics**

Emphasizing The Use Of WinBUGS And R To Analyze Real Data, Thsi Book Presents Statistical Tools To Address Scientific Questions. It Highlights Foundational Issues In Statistics, The Importance Of Making Accurate Predictions, And The Need For Scientists An

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### Ridges in Image and Data Analysis Springer Netherlands

**Książki / Literatura obcojęzyczna**

This book provides a thorough development of ridges and their application to image and data analysis. The text is self-contained by including a chapter on the necessary mathematical background, chapters on the formal ridge definitions in any geometric setting, and a chapter on the numerical implementation. An applications chapter covers three separate topics: medical image analysis, molecular modeling, and analysis of fluid flow. Audience: The book is intended primarily for computer vision and image processing scientists with a background in mathematics and scientific computation. However, ridges provide a general purpose tool for multidimensional data analysis, so the book will be of interest to practitioners in any field which requires the analyzing of data, such as statistics, the physical sciences, or engineering.

Sklep: Libristo.pl

### Data Analysis for Network Cyber-Security World Scientific Publishing

**Książki / Literatura obcojęzyczna**

There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack. However, no system can be made invulnerable. Data Analysis for Network Cyber-Security focuses on monitoring and analyzing network traffic data, with the intention of preventing, or quickly identifying, malicious activity. Such work involves the intersection of statistics, data mining and computer science. Fundamentally, network traffic is relational, embodying a link between devices. As such, graph analysis approaches are a natural candidate. However, such methods do not scale well to the demands of real problems, and the critical aspect of the timing of communications events is not accounted for in these approaches. This book gathers papers from leading researchers to provide both background to the problems and a description of cutting-edge methodology. The contributors are from diverse institutions and areas of expertise and were brought together at a workshop held at the University of Bristol in March 2013 to address the issues of network cyber security. The workshop was supported by the Heilbronn Institute for Mathematical Research.

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### An Introduction to Statistics with Python Springer, Berlin

**Książki / Literatura obcojęzyczna**

This textbook provides an§introduction to the free software Python and its use for statistical data§analysis. It covers common statistical tests for continuous, discrete and§categorical data, as well as linear regression analysis and topics from survival§analysis and Bayesian statistics. Working code and data for Python solutions§for each test, together with easy-to-follow Python examples, can be reproduced§by the reader and reinforce their immediate understanding of the topic. With§recent advances in the Python ecosystem, Python has become a popular language§for scientific computing, offering a powerful environment for statistical data§analysis and an interesting alternative to R. The book is intended for master§and PhD students, mainly from the life and medical sciences, with a basic§knowledge of statistics. As it also provides some statistics background, the§book can be used by anyone who wants to perform a statistical data§analysis. §§

Sklep: Libristo.pl

### Statistics for the Social Sciences SAGE Publications Inc

**Książki / Literatura obcojęzyczna**

Do your students lack confidence in their ability to handle quantitative work? Are they unsure about how best to use SAS, SPSS, and Excel programs? The new edition of the bestselling textbook Statistics for the Social Sciences is the solution. The previous editions of this book were popular with instructors because they helped build students' confidence and ability in doing statistical analysis, by slowly moving from concepts that require little computational work to those that require more. In this new edition, author R. Mark Sirkin demonstrates how statistics can be used so that the students come to appreciate their usefulness rather than fearing them.Key Features of the Third Edition:"- An emphasis on the analysis and interpretation of data giving students a feel for how data interpretation is related to the methods by which the data was obtained- A wide range of examples from various fields in the social sciences demonstrate the role of statistical analysis in the research process- Coverage of the scientific method and how each statistical technique relates to the larger field of research - Emphasis on the interpretation of tables helping students master a topic that often proves challenging- Plenty of exercises are provided at the end of chapters so that students can practise all the statistical procedures covered- Answers to selected questions appear at the end of the book with complete worked-out solutions- Additional exercises have been added to reflect the additional computer coverage- User-friendly ways of navigating the text - key concepts are introduced and highlighted within the text, with definitions provided in boxes at the foot of each page- A handy glossary of all the the key concepts and terms in provided at the back of the book as an aid to revision- New tools to teach students how to do analysis not only through SAS and SPSS, but also using Excel descriptive statistics featuresThis book will be invaluable for upper level undergraduate students and graduate students across the social sciences. An Instructor's CD-ROM containing data sets, Powerpoint slides, exercises and answers will be available free-of-charge to professors adopting this text.

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### Visual Statistics John Wiley & Sons Inc

**Książki / Literatura obcojęzyczna**

A visually intuitive approach to statistical data analysis Visual Statistics brings the most complex and advanced statistical methods within reach of those with little statistical training by using animated graphics of the data. Using ViSta: The Visual Statistics System-developed by Forrest Young and Pedro Valero-Mora and available free of charge on the Internet-students can easily create fully interactive visualizations from relevant mathematical statistics, promoting perceptual and cognitive understanding of the data's story. An emphasis is placed on a paradigm for understanding data that is visual, intuitive, geometric, and active, rather than one that relies on convoluted logic, heavy mathematics, systems of algebraic equations, or passive acceptance of results. A companion Web site complements the book by further demonstrating the concept of creating interactive and dynamic graphics. The book provides users with the opportunity to view the graphics in a dynamic way by illustrating how to analyze statistical data and explore the concepts of visual statistics. Visual Statistics addresses and features the following topics: Why use dynamic graphics? A history of statistical graphics Visual statistics and the graphical user interface Visual statistics and the scientific method Character-based statistical interface objects Graphics-based statistical interfaces Visualization for exploring univariate data This is an excellent textbook for undergraduate courses in data analysis and regression, for students majoring or minoring in statistics, mathematics, science, engineering, and computer science, as well as for graduate-level courses in mathematics. The book is also ideal as a reference/self-study guide for engineers, scientists, and mathematicians. With contributions by highly regarded professionals in the field, Visual Statistics not only improves a student's understanding of statistics, but also builds confidence to overcome problems that may have previously been intimidating.

Sklep: Libristo.pl

### Statistics for Experimenters Wiley-Blackwell (an imprint of John Wiley & Sons...

**Książki / Literatura obcojęzyczna**

A Classic adapted to modern times Rewritten and updated, this new edition of Statistics for Experimenters adopts the same approaches as the landmark First Edition by teaching with examples, readily understood graphics, and the appropriate use of computers. Catalyzing innovation, problem solving, and discovery, the Second Edition provides experimenters with the scientific and statistical tools needed to maximize the knowledge gained from research data, illustrating how these tools may best be utilized during all stages of the investigative process. The authors' practical approach starts with a problem that needs to be solved and then examines the appropriate statistical methods of design and analysis. Providing even greater accessibility for its users, the Second Edition is thoroughly revised and updated to reflect the changes in techniques and technologies since the publication of the classic First Edition. Among the new topics included are: * Graphical Analysis of Variance * Computer Analysis of Complex Designs * Simplification by transformation * Hands-on experimentation using Response Service Methods * Further development of robust product and process design using split plot arrangements and minimization of error transmission * Introduction to Process Control, Forecasting and Time Series * Illustrations demonstrating how multi-response problems can be solved using the concepts of active and inert factor spaces and canonical spaces * Bayesian approaches to model selection and sequential experimentation An appendix featuring Quaquaversal quotes from a variety of sources including noted statisticians and scientists to famous philosophers is provided to illustrate key concepts and enliven the learning process. All the computations in the Second Edition can be done utilizing the statistical language R. Functions for displaying ANOVA and lamba plots, Bayesian screening, and model building are all included and R packages are available online. All theses topics can also be applied utilizing easy-to-use commercial software packages. Complete with applications covering the physical, engineering, biological, and social sciences, Statistics for Experimenters is designed for individuals who must use statistical approaches to conduct an experiment, but do not necessarily have formal training in statistics. Experimenters need only a basic understanding of mathematics to master all the statistical methods presented. This text is an essential reference for all researchers and is a highly recommended course book for undergraduate and graduate students.

Sklep: Libristo.pl

### Introduction to Statistics in Pharmaceutical Clinical Trials Pharmaceutical Press

**Książki / Literatura obcojęzyczna**

This book is a self-contained introduction to Statistics, presented in the context of clinical trials and pharmaceutical drug development. It focuses on the statistical analyses most commonly used in drug development and is therefore an ideal introduction to pharmaceutical statistics. Instead of introducing a series of statistical techniques, the book's organizational structure follows the order in which numerical information and statistical analyses are used in trials and new drug development.All students taking classes in pharmaceutical sciences and clinical research need a solid knowledge and understanding of the nature, methods, application and importance of Statistics. They need to understand:why, and how data are collected in clinical trials; how these data are summarized and analyzed; what the results mean in the context of the clinical research question; and, how the results are communicated to regulatory agencies and to scientific and medical communities.This title therefore adopts a unique approach and concept in organization of the content. It begins with an introduction to statistical theory, analysis and interpretation. This is followed by a discussion of t-tests and confidence intervals. Readers are then taken through the whole process of new drug development (using one specific example throughout) that is meaningful in the context of their broader studies. Throughout this process, statistical techniques and analyses are introduced in the order in which they are employed during the process.The book's realistic scientific and progressive organization from pre-clinical trials to clinical pharmacology through clinical trials is novel, meaningful and educationally powerful. The book emphasises the importance of descriptive statistics as well as inferential statistics, something that is rarely done.Supplementary material is included for this text on the PharmPress website in the form of PowerPoint lecture notes on Statistics (based on content of this book) that can be downloaded by lecturers.

Sklep: Libristo.pl

### Introductory Statistics Elsevier Science & Technology

**Książki / Literatura obcojęzyczna**

In this 3rd edition revised text, master expositor Sheldon Ross has produced a unique work in introductory statistics. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, and an explanation of intuition and ideas behind the statistical methods. Concepts are motivated, illustrated and explained in a way that attempts to increase one's intuition. To quote from the preface, 'It is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data'. Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions and examples. Applications and examples refer to real-world issues, such as gun control, stock price models, health issues, driving age limits, school admission ages, use of helmets, sports, scientific fraud and many others. Ancillary list includes: Instructor's Manual; Student Solutions Manual; Student Solutions Manual for 2nd Edition; Sample Chapter, eBook; and, Companion Website w/Data Sets. This title features unique historical perspective profiling prominent statisticians and historical events to motivate learning by providing interest and context. Use of exercises and examples helps guide the student towards independent learning using real issues and real data, e.g. stock price models, health issues, gender issues, sports, and scientific fraud. Summary/Key Terms - chapters end with detailed reviews of important concepts and formulas, key terms and definitions which are useful to students as study tools. Data sets from text and exercise material will be available to download from the text website, saves students time.

Sklep: Libristo.pl

### Experimental Statistics Using MINITAB BERTRAMS

**Książki / Literatura obcojęzyczna**

Experimental Statistics using Minitab exploits the availability of the statistical computer package Minitab to explain advanced statistical concepts related to the design and analysis of experiments in an intuitive and easily comprehended manner. This is achieved with a minimum of mathematical knowledge using the data generating and analysing features of Minitab. Detailed instructions for the use of Minitab are given throughout making the book particularly useful for in-class use. Examples are drawn from a wide range of scientific fields. Dr Colin Weatherup formerly held the joint appointment of head of Biometrics Division of the Department of Agriculture for Northern Ireland and head of the Biometrics Department of the Queens University, Belfast. He has taught statistics to students in Agriculture, Biomedicine, Food Technology and in a range of other scientific subjects since 1970. In retirement he is currently an Associate Lecturer in the Open University.

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### Handbook of Statistics ELSEVIER

**Książki / Literatura obcojęzyczna**

Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of machine learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field. The Handbook is divided in two sections: Theory and Applications, covering machine learning, data analytics, biometrics, document recognition and security. * very relevant to current research challenges faced in various fields* self-contained reference to machine learning* emphasis on applications-oriented techniques

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### Statistics For Engineers And Scientists

**Książki Obcojęzyczne>Angielskie>Mathematics & science>Science: general issues>Maths for scientistsKsiążki Obcojęzyczne>Angielskie>Te...**

Stands Out For Its Crystal Clear Presentation Of Applied Statistics. This Book Takes A Practical Approach To Methods Of Statistical Modeling And Data Analysis That Are Most Often Used In Scientific Work.

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### Analyzing Categorical Data Springer, Berlin

**Książki / Literatura obcojęzyczna**

Categorical data arise often in many fields, including biometrics, economics, management, manufacturing, marketing, psychology, and sociology. This book provides an introduction to the analysis of such data. The coverage is broad, using the loglinear Poisson regression model and logistic binomial regression models as the primary engines for methodology. Topics covered include count regression models, such as Poisson, negative binomial, zero-inflated, and zero-truncated models; loglinear models for two-dimensional and multidimensional contingency tables, including for square tables and tables with ordered categories; and regression models for two-category (binary) and multiple-category target variables, such as logistic and proportional odds models.§All methods are illustrated with analyses of real data examples, many from recent subject area journal articles. These analyses are highlighted in the text, and are more detailed than is typical, providing discussion of the context and background of the problem, model checking, and scientific implications. More than 200 exercises are provided, many also based on recent subject area literature. Data sets and computer code are available at a web site devoted to the text. Adopters of this book may request a solutions manual from: textbooks@springer-ny.com. §Jeffrey S. Simonoff is Professor of Statistics at New York University. He is author of Smoothing Methods in Statistics and coauthor of A Casebook for a First Course in Statistics and Data Analysis, as well as numerous articles in scholarly journals. He is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics, and an Elected Member of the International Statistical Institute.

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