639,99 zł

Applied Multivariate Data Analysis

Książki Obcojęzyczne>Angielskie>Mathematics & science>Mathematics>Applied mathematicsKsiążki Obcojęzyczne>Angielskie>Mathematics & s...

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479,99 zł

Applied Multivariate Analysis

Książki Obcojęzyczne>Angielskie>Economics, finance, business & management>Economics>Econometrics>Economic statisticsKsiążki Obcojęzyczn...

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249,99 zł

Applied Multivariate Statistical Analysis

Książki Obcojęzyczne>Angielskie>Economics, finance, business & management>Economics>Econometrics>Economic statisticsKsiążki Obcojęzyczn...

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399,99 zł

Applied Multivariate Statistical Analysis

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

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249,99 zł

An Introduction To Applied Multivariate Analysis With R

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

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619,99 zł

Applied Univariate, Bivariate And Multivariate Statistics

Książki Obcojęzyczne>Angielskie>Mathematics & science>Mathematics>Calculus & mathematical analysis

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146,15 zł

Applied Time Series Analysis and Forecasting with Python Springer, Berlin

Książki / Literatura obcojęzyczna

This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statistical approaches and time series models, including ARMA, SARIMA, VAR, GARCH and state space and Markov switching models for (non)stationary, multivariate and financial time series, but also modern machine learning procedures and challenges for time series forecasting. Providing an organic combination of the principles of time series analysis and Python programming, it enables the reader to study methods and techniques and practice writing and running Python code at the same time. Its data-driven approach to analyzing and modeling time series data helps new learners to visualize and interpret both the raw data and its computed results. Primarily intended for students of statistics, economics and data science with an undergraduate knowledge of probability and statistics, the book will equally appeal to industry professionals in the fields of artificial intelligence and data science, and anyone interested in using Python to solve time series problems.

Sklep: Libristo.pl

567,74 zł

Applied Time Series Analysis and Forecasting with Python Springer, Berlin

Książki / Literatura obcojęzyczna

This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statistical approaches and time series models, including ARMA, SARIMA, VAR, GARCH and state space and Markov switching models for (non)stationary, multivariate and financial time series, but also modern machine learning procedures and challenges for time series forecasting. Providing an organic combination of the principles of time series analysis and Python programming, it enables the reader to study methods and techniques and practice writing and running Python code at the same time. Its data-driven approach to analyzing and modeling time series data helps new learners to visualize and interpret both the raw data and its computed results. Primarily intended for students of statistics, economics and data science with an undergraduate knowledge of probability and statistics, the book will equally appeal to industry professionals in the fields of artificial intelligence and data science, and anyone interested in using Python to solve time series problems.

Sklep: Libristo.pl

327,44 zł

Using R With Multivariate Statistics SAGE Publications Inc

Książki / Literatura obcojęzyczna

Using R with Multivariate Statistics: A Primer was designed as a supplement to a more comprehensive text on Multivariate statistics. The author, Randall E. Schumacker, wanted to provide a guide to using the access free software R when conducting multivariate statistical analysis. R code is provided for some of the data set examples used in a wide range of texts that are published as comprehensive texts in Multivariate Statistics. The goal is an applied guide that students can run the examples in R and compare results in the books that used SAS, SPSS or STATA statistics packges. The R commands can be saved in a script file for future use, readily shared, and provide the user control over the analytic steps and algorithms used. There are many advantages to using R, one being that it is free software, the ability to customize statistical analysis, and is available on Windows, Mac, and Linus operating systems.

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542,58 zł

Econometric Analysis of Cross Section and Panel Data MIT Press Ltd

Książki / Literatura obcojęzyczna

The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis.Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised.Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

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369,68 zł

Multilevel Analysis SAGE Publications Ltd

Książki / Literatura obcojęzyczna

The Second Edition of this classic text outlines the main methods, techniques and issues involved in carrying out multilevel modeling and analysis. Snijders and Boskers' book is an applied, authoritative and accessible introduction to the topic, providing readers with a clear conceptual and practical understanding of all the main issues involved in designing multilevel studies and conducting multilevel analysis. This book provides step-by-step coverage of: - multilevel theories - multi-stage sampling - the hierarchical linear model - testing and model specification - heteroscedasticity - study designs - longitudinal data - multivariate multilevel models - discrete dependent variables. There are also new chapters on: - missing data - multilevel modeling for surveys - Bayesian and MCMC estimation and latent-class models This book has been comprehensively revised and updated since the last edition, and now includes guides to modeling using HLM, MLwiN, SAS, Stata including GLLAMM, R, SPSS, Mplus, WinBugs, Latent Gold and Mix. This is a must-have text for any student, teacher or researcher with an interest in conducting or understanding multilevel analysis.

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400,96 zł

Introduction to Time Series and Forecasting Springer International Publishing AG

Książki / Literatura obcojęzyczna

This book teaches time series and forecasting methods with an emphasis on the fundamentals of data set analysis. It is designed for use in a full-year introduction to univariate and multivariate time series course. This book assumes a knowledge only of basic calculus, matrix algebra, and elementary statistics. The logic and tools of model-building for stationary and nonstationary time series are developed in detail and numerous exercises, many of which make use of the included computer package, provide the reader with ample opportunity to develop skills in this area. The core of the book covers stationary processes, ARMA and ARIMA processes, multivariate time series and state-space models, with an optional chapter on spectral analysis. Additional topics include harmonic regression, the Burg and Hannan-Rissanen algorithms, unit roots, regression with ARMA errors, structural models, the EM algorithm, generalized state-space models with applications to time series of count data, exponential smoothing, the Holt-Winters and ARAR forecasting algorithms, transfer function models and intervention analysis. Brief introductions are also given to cointegration and to nonlinear, continuous-time and long-memory models. The free time series package that accompanies this book is ITSM2000, though the methods can be easily applied to time series packages in other programs, including R. The programs in ITSM are all menu-driven so that the reader can immediately apply the techniques in the book to time series data, with a minimal investment of time in the computational and algorithmic aspects of the analysis.

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1099,18 zł

Developmental Psychopathology Springer, Berlin

Książki / Literatura obcojęzyczna

This book addresses the question of whether or not behavioural differences between children can be most appropriately characterised by dimensions of psychological problems or by categorical diagnoses. It describes the concepts and methods that have been developed and applied within developmental psychopathology using this dimensional approach. The book reviews evidence on the interplay between genes and the environment in influencing internalising problems, externalising problems, Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD), and on the hierarchical factor structure underlying these behavioural dimensions. It provides an appraisal of the state of knowledge on the longer-term sequelae of these problems and on the efficacy of treatments that have been developed for them.Key areas of coverage include:  Multivariate data analytic methods for investigating behavioural differences (e.g., path analysis, cluster analysis, structural equation modelling, network analysis) and their associated theoretical frameworks (e.g., hierarchical factor models). Methods to investigate the biology of behavioural differences (e.g., quantitative and molecular genetics, epigenetics, and brain imaging). The design of research studies that can test most directly for causality (i.e., randomised controlled trials) and others that can estimate plausible causal relationships from associations and correlations. Reviews of studies that have applied these methods to understand the developmental course of internalising and externalising behaviours and the neurodevelopmental problems of Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD).

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289,44 zł

Six Sigma Quality Improvement with Minitab 2e John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

This book aims to enable readers to understand and implement, via the widely used statistical software package Minitab (Release 16), statistical methods fundamental to the Six Sigma approach to the continuous improvement of products, processes and services.§The second edition includes the following new material:§Pareto charts and Cause-and-Effect diagrams§Time-weighted control charts cumulative sum (CUSUM) and exponentially weighted moving average (EWMA)§Multivariate control charts§Acceptance sampling by attributes and variables (not provided in Release 14)§Tests of association using the chi-square distribution§Logistic regression§Taguchi experimental designsSix Sigma Quality Improvement with Minitab: Second Edition§G. Robin Henderson, Halcro Consultancy, Midlothian, UK§As Six Sigma evolves, it continues to be used worldwide to identify and remove causes of nonconformance and to reduce variability in manufacturing, business and healthcare processes. It is applied through a structured, project-based approach that places emphasis on the use of statistical methods. This new edition of Six Sigma Quality Improvement with Minitab enables readers to understand and implement data displays and statistical methods fundamental to Six Sigma via the highly popular, widely available and easy to use statistical software Minitab (Release 16).§Key Features:§Provides an introduction to key statistical methods for Six Sigma and quality improvement and their application via Minitab.§No prior knowledge of statistics or Minitab is assumed and theory is kept to an absolute minimum.§Explanations are detailed, carefully worded and supported by numerous screen captures.§Explores additional topics, including Pareto charts, cause-and-effect diagrams, time-weighted control charts, multivariate control charts and logistics regression.§Uses random data generation facilities in Minitab, to illustrate key statistical results and concepts.§Presents informative follow-up exercises from a wide variety of scenarios, on each topic.§Supported by a website providing data sets for download and comprehensive notes and answers to the follow-up exercises.§Includes information on the comprehensive help facilities available to Minitab users such as the new Assistant.§This book will be of great value to Six Sigma Green and Black Belts and to quality improvement practitioners generally. In addition, students and anyone with an interest in quality improvement, data analysis, statistics methods and their implementation via Minitab, will also find this book of value.

Sklep: Libristo.pl

536,66 zł

Six Sigma Quality Improvement with Minitab 2e John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

This book aims to enable readers to understand and implement, via the widely used statistical software package Minitab (Release 16), statistical methods fundamental to the Six Sigma approach to the continuous improvement of products, processes and services.§The second edition includes the following new material:§Pareto charts and Cause-and-Effect diagrams§Time-weighted control charts cumulative sum (CUSUM) and exponentially weighted moving average (EWMA)§Multivariate control charts§Acceptance sampling by attributes and variables (not provided in Release 14)§Tests of association using the chi-square distribution§Logistic regression§Taguchi experimental designsSix Sigma Quality Improvement with Minitab: Second Edition§G. Robin Henderson, Halcro Consultancy, Midlothian, UK§As Six Sigma evolves, it continues to be used worldwide to identify and remove causes of nonconformance and to reduce variability in manufacturing, business and healthcare processes. It is applied through a structured, project-based approach that places emphasis on the use of statistical methods. This new edition of Six Sigma Quality Improvement with Minitab enables readers to understand and implement data displays and statistical methods fundamental to Six Sigma via the highly popular, widely available and easy to use statistical software Minitab (Release 16).§Key Features:§Provides an introduction to key statistical methods for Six Sigma and quality improvement and their application via Minitab.§No prior knowledge of statistics or Minitab is assumed and theory is kept to an absolute minimum.§Explanations are detailed, carefully worded and supported by numerous screen captures.§Explores additional topics, including Pareto charts, cause-and-effect diagrams, time-weighted control charts, multivariate control charts and logistics regression.§Uses random data generation facilities in Minitab, to illustrate key statistical results and concepts.§Presents informative follow-up exercises from a wide variety of scenarios, on each topic.§Supported by a website providing data sets for download and comprehensive notes and answers to the follow-up exercises.§Includes information on the comprehensive help facilities available to Minitab users such as the new Assistant.§This book will be of great value to Six Sigma Green and Black Belts and to quality improvement practitioners generally. In addition, students and anyone with an interest in quality improvement, data analysis, statistics methods and their implementation via Minitab, will also find this book of value.

Sklep: Libristo.pl

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