\documentclass{article}

\setlength{\topmargin}{-1.24cm}
\setlength{\headsep}{0cm} % default:  25pt = 0.8786cm
\setlength{\headheight}{0cm}%===== NO Headings ! =====
\setlength{\textheight}{280mm}
%%----- width: -----------------------
\setlength{\textwidth}{180mm}
   \oddsidemargin -1.34cm
   \setlength{\evensidemargin}{\oddsidemargin}

\newcommand{\Bitem}[1]{\item[\qquad]\textbf{#1}}
\newcommand{\Msect}[1]{\par\bigskip\noindent{\large\textbf{#1}}}

\pagestyle{empty}
\begin{document}
\noindent
\underline{{\scshape EDA. {E}xploratory Data Analysis.} \emph{Introduction
            to Descriptive Statistics.}} \textbf{(German)},  2nd ed.\ \
W. Polasek.
\\ {\small Springer textbook. Springer Verlag, Berlin et al., 1994,
  pp.~iii + 346,  sFr.~45}


\Msect{Contents:}
%%     ---------

%\smallskip
\begin{itemize}\itemsep=-.2ex\topskip=0ex
\item[0.] Introduction
\item[1.] Exploratory and descriptive statistics

\Bitem{Part I \ \ Exploratory Data Analysis} \ {\small (144 p.)}

\item[2.] Stem and leaf
\item[3.] Rank measures
\item[4.] Box plots
\item [5.] Data transformations
\item [6.] Scattergrams
\item [7.] Regressograms
\item [8.] Time series
\item [9.] Two-way tables

\Bitem{Part II \ \ Descriptive Statistics} \  {\small (122 p.)}

\item [10.] Location parameters
\item [11.] Scatter measures
\item [12.] Correlation
\item [13.] Inequality and concentration
\item [14.] Index numbers

\Bitem{Part III \ \ Graphical Techniques} \ {\small (44 p.)}

\item [15.] 2-dimensional graphics
\item [16.] 3-dimensional graphics
\item [17.] Projection techniques

\smallskip

\item [18.] Postscriptum

\medskip

\item [] \hspace*{-2em}  References and Bibliography
\end{itemize}

%%     -----------
\Msect{Readership:} Students and researchers in the social sciences using
%%     -----------
statistics.
%%---------------------------------------------------------------------------
\bigskip

The second edition of the present textbook in the German
``Springer-Lehrbuch'' series has grown by 50\%
from the first edition (1988), mainly by improving on many details and adding
more graphical examples. The goal of the book is to teach and demonstrate
methods for exploratory, descriptive and graphical data analysis from a
similar perspective to enable students to engage in model building without
having to study probability theory.

The first part introduces Tukey's (1977) EDA to
a German speaking audience in an informal way. Throughout the book,
Austrian and Swiss data sets from social sciences and economics are
used. This makes the book particularly appealing to readers from this
European region.

The second part introduces more
traditional non-inferential statistics in a similar way.
In part three, the author discusses a set of selected topics
 from the vast field of
statistical graphics. The author gives some guidance on practice (``not to
lie with statistics''), but this is not done systematically.
The chapter on ``Projection techniques'' (17) has nothing to do with modern
methods for multivariate analysis. It deals with basic geometrical
aspects of perspective representation (projecting from 3 to 2 dim.).

The book has been produced from a ``camera ready'' copy and this shows.
 The typesetting of mathematical expressions, e.g., is quite poor.
There are exercises at the end of each chapter, but no solutions are provided.
%%---------------------------------------------------------------------------

\bigskip

\noindent
 ETH (Federal Institute of Technology)
\\ Zurich, SWITZERLAND \hfill  Martin Maechler

\end{document}

 Deskriptive und explorative Datenanalyse
 / von Siegfried Heiler und Paul Michels
 Muenchen (etc.) : Oldenbourg, 1994
 XII, 437 S. : Ill., Tab.
 (Lehr- und Handbuecher der Statistik)
 Literaturverz.
 ISBN 3-486-22786-6 (Pp.)
 ------------------------------------------------------
 ZBZ      GS 2987  Standort: Freihand

 Bio-Statistik
 / von Manfred Precht und Roland Kraft  ---- SfS-Agro-Bib: {AS 172, AS 173}
 5., voellig ueberarb. Aufl.
 Muenchen (etc.) : Oldenbourg, 1992-1993
 2 Bd. : Ill.
 Enthaelt: 1 : Beschreibende und explorative Statistik -
 Wahrscheinlichkeitsrechnung und Zufallsvariablen - Statistische Masszahlen
 - Wichtige Verteilungen -Beurteilende Statistik - Vertrauensintervalle -
 Programmbeispiele in MINITAB und STATA --
   2 : Hypothesentests - Varianzanalyse - Nichtparametrische Statistik -
 Analyse von Kontingenztafeln - Korrelationsanalyse -- Regressionsanalyse --
 Zeitreihenanalyse - Programmbeispiele in MINITAB, STATA, N, StatXact und
 TESTIMATE   Literaturverz.
 ISBN 3-486-22037-3 (Bd. 1)
 ------------------------------------------------------


 Explorative Datenanalyse   ------- Auch Agro-Bib: AS 171 ---------
 / von Michel Jambu
 ; uebersetzt von Kuno Egle
 Stuttgart (etc.) : Gustav Fischer, 1992
 406 S. : Ill. ; 24 cm
 "Originaltitel der franzoesischen Ausgabe: "Exploration informatique et
 statistique de donnees" erschienen bei Dunod, Paris 1989"
 ISBN 3-437-40259-5
 ------------------------------------------------------
 ETH-BIB  753 228


@bookreview{pola:schw:1990,
    Journal = {StHefte}, %_-- Statistische Hefte
    Volume = 31,
    Pages = {305--307},
    Author = {Polasek, W. (Auth) and Schweitzer, W. (Rev)},
    Title = {Review of ``Exploratory Data Analysis -- {E}DA --
            {I}ntroduction to Descriptive Statistics'' (German)},
    Year = 1990
}

@bookreview{pola:stoy:1991,
    Journal = {BiomtrcJ}, %--- Biometrical Journal
    Volume = 33,
    Pages = {368--368},
    Author = {Polasek, W. (Auth) and Stoyan, D. (Rev. German)},
    Title = {Review of ``EDA. {E}xploratory Data Analysis. {I}ntroduction
            to Descriptive Statistics'' (German)},
    Year = 1991
}
