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Дата изменения: Sat Feb 20 09:48:32 1999 Дата индексирования: Mon Oct 1 19:35:17 2012 Кодировка: koi8-r |
We Offer
Literature on
Computers and Statistical Data Analysis.
Figurnov V.A.
IBM PC for Users (the
7th edition)
In Russian.
This is a new, completely recast and expanded edition of a well-known book. It treats operation systems DOS and Windows, peculiarities of Windows 95 program usage. Packages Norton Commander, Norton Utilities, Lexicon, AidsTest, Dr Webber, ADinf, Norton Backup, Norton AntyVirus and etc. are among depicted software tools. Information for experienced users is largely expanded: chapters on computer configuration, its technical support, security, disc data recovery, viruse protection, DOS and Windows configuration and etc. are for them.
phone number (095) 332-6226
Tyurin Yu.N., Makarov
A.A.
Statistical Data Analysis with PC (expanded and recast edition).
In Russian.
A textbook on applied statistics and data processing with PC is intended for applied annalists and students. Basic notions and methods of applied statistical analysis and usage of leading Russian and American statistical software tools: STADIA, STATGRAPHICS. SPSS and Avrista are given. The methods of
are studied.
The second edition has much more detailed depiction of temporal
series analysis methods, review of statistical packages for
Windows and recommendations on their choosing. Data on
statistical software vendors in Russia is largely renewed and
extended.
phone number (095)939-5306
Kulaichev A.P.
Data Analysis Methods And Tools for Windows
In Russian
The book describes data analysis and examples of problem solution with a help of the package STADIA 6.0 for Windows. An enclosed floppy disk has a working version of a program STADIA 6.0 for data processing and analysis execution. The book can be useful for those interested in data analysis methods and their realisation for IBM PC.
Boldin M.V., Symonova
G.I., Tyurin Yu.N.
Sign Statistical Analysis of Linear Models
In English and In Russian.
In the book a new nonparametric approach to analysis of statistical data is exposed. It consists in using only the signs of observations or of certain functions of them depending on the data structure. Hence the method is referred to as the sign-based one. The book treats regression and autoregression models important for applications. For these models the sign-based method yields the solutions of the principle statistical problems (parameter estimation, hypothesis testing, etc.). Both, finite-sample and large-sample properties of the sign procedures are studied. The sign procedures are shown to be robust with respect to gross errors in the data. Numerical algorithms to implement the sign analysis are proposed, and examples of their application to their real and simulated data are given. The exposition evolves from elementary to advanced theory to make the book accessible for broader readership. The book is intended for those studying or applying mathematical statistics.
phone number (095) 939-5306
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Июль 08, 1998