The fun and easy way® to enhance your grasp of statistics. Need to expand your statistics knowledge and move on to Statistics II? This friendly, hands-on guide gives you the skills you need to take on multiple regression, analysis of variance (ANOVA), Chi-square tests, nonparametric procedures, and other key topics.

Well, depending on who the question is directed to – the answer may differ. To some it’s a data analysis tool, to others statistical software. Indeed, GenStat has been referred to as “the essence of my work.”We at VSNi like to think of GenStat as an all embracing data analysis tool, offering ease of use via our comprehensive menu system reinforced with the flexibility of a sophisticated programming language. All this is available in one focussed environment that encourages prototyping and development, while guiding new and less experienced users through the well planned menu and diagnostic messaging (not to mention a whole host of training and resource).

For over 30 years we have employed, and continue to work with, leading statisticians and scientists who help to create a package that succeeds for both novice and expert users in academia, research and industry.One of the many benefits of GenStat is that it is a complete package. You can use GenStat to manage and illustrate your data, summarize and compare, model relationships, design investigations and of course analyse your experiments from the simplest ANOVA right through to the most complex REML. Our comprehensive range of leading edge statistical content is continually being updated in line with both industry progression and user feedback.Originally conceived and developed at the Rothamsted Experimental Station (RRES), where many of the statistical techniques still in use today were first discovered, GenStat is used in the most demanding real-life applications today.

UniPlot was developed to visualize and analyze test data. With only a few mouse clicks, you can transform your data into 3D surface maps with color zones, contour maps with color fill, or plot 2D data into diagrams with several axes. Text objects, scanned photos and other drawing and labeling elements can be easily inserted into the document with OLE.

This trader's guidebook introduces productive new computerized trading techniques within the context of real-world trading scenarios and provides unique tutorials on the latest technical tools and indicators, including the new momentum oscillators, linear regression analysis, VIDYA and Qstick. Illustrated with 50 charts and tables, the text shows how to finely tune any trading system for price volatility.

BricsCad v9 is the smart choice for architects, engineers,designers-virtually any professional who creates or uses CAD drawings.BricsCad provides unrivaled compatibility with Autodesk AutoCAD and is fully programmable with hundreds of third-party solutions. AutoCAD command line Most CAD professionals spend years mastering AutoCAD commands until they're second nature.Since these commands help create the majority of CAD work,BricsCad transparently maps them to BricsCad equivalent commands.

UniPlot was developed to visualize and analyze test data. With only a few mouse clicks, you can transform your data into 3D surface maps with color zones, contour maps with color fill, or plot 2D data into diagrams with several axes. Text objects, scanned photos and other drawing and labeling elements can be easily inserted into the document with OLE.

Data can be processed interactively or automated for repetitive tasks or analysis. UniPlot offers an efficient and powerful programming language. It enables the user to add new functions to the user interface, to execute complex mathematical data analysis, to import specially formatted data files or to automatically produce complete documentations. UniPlot can be used under Windows 2000/XP/Vista.

User-friendly biology and medicine oriented statistical software.With BioStat 2008, one gets a robust suite of statistics tools and graphical analysis methods that are easily accessed though a simple and straightforward interface.

 

 

With BioStat 2008, one gets a robust suite of statistics tools and graphical analysis methods that are easily accessed though a simple and straightforward interface.While BioStat 2008 is a "heavy-duty" biology and medicine oriented professional statistical analysis tool, the interface is so simple that even people who have no knowledge of statistics are capable of processing data, provided they know how to use PC and clear instructions are given.

SYSTAT is a powerful statistical software that has every statistical procedure you need to carry out efficient statistical analysis of your data. It provides you with features from the most elementary descriptive statistics to very advanced statistical methodology based on sophisticated algorithms. If you are a novice statistical user, you can work with its friendly and simple menu-dialog. If you are a statistically-savvy user, you might prefer to use its intuitive command language, and analyze your data swiftly and with ease. In either case, you can exploit its staggering range of powerful techniques to analyze many types of data to answer many types of questions. You can carry out very comprehensive analysis of univariate and multivariate data based on linear, general linear, and mixed linear models. You can carry out different types of robust regression analysis when your data are not suitable for conventional multiple regression analysis. You can also compute partial least-squares regression. You can design experiments, carry out power analysis, do probability calculations on a whole lot of distributions and fit them to data. You can perform matrix computations. Anything else you may need---Time Series, Survival Analysis, Response Surface Optimization, Spatial Statistics, Test Item Analysis, Cluster Analysis, Classification and Regression Trees, Correspondence Analysis, Multidimensional Scaling, Conjoint Analysis, Quality Analysis, Path Analysis, etc., etc.---SYSTAT has them all.

SYSTAT's Monte Carlo module helps you accomplish your simulation tasks

You can use the powerful Mersenne-Twister random number generator for your bootstrap and simulation tasks. You can exploit SYSTAT's random number generator from as many as 43 univariate and multivariate, discrete and continuous distributions for your Monte Carlo exercises. When the distributions are more complicated, use Rejection Sampling and Adaptive Rejection Sampling to draw random samples. For your complex Bayesian computations, suitably adapt SYSTAT's generic Markov chain Monte Carlo (MCMC) procedures like various types of Metropolis-Hastings and Gibbs Sampling features to draw random samples and to carry out Monte Carlo integration thereof.

Three key efforts are essential to effectively transform data into actionable information: retrieving data with SQL, presenting data with Excel, and understanding statistics as the foundation of data analysis. Data mining expert Gordon Linoff focuses on these topics and shows you how SQL and Excel can be used to extract business information from relational databases. He begins by taking a look at how data is central to the task of understanding customers, products, and markets, and he then goes on to show you how to use that data to define business dimensions, store transactions about customers, and summarize important data to produce results. Along the way, he shares stories based on his personal experience in the field, intended to enrich your understanding of why some things work—and others don't.

Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what you can expect the results to look like. Throughout the book, critical features of Excel are highlighted, interesting uses of Excel graphics are explained, and dataflows and graphical representations of data processing are used to illustrate how SQL works.
Data Analysis Using SQL and Excel shares hints, warnings, and technical asides about Excel, SQL, and data analysis/mining.