This FAQ is for anyone who wants to know more about the salary cap, trade rules, and other aspects of the NBA's 2011 Collective Bargaining Agreement. There is a lot of information here, so there are several ways to navigate this document. You can go to the table of contents to see a list of all the questions, or if you want to know about a particular topic you may be able to find it in the index. You can also go straight to the questions. You can find an overview of the differences between the 2011 and 2005 CBAs in the appendix. If you've been following this FAQ for a while, you can go to the revision history to see if anything has changed. Finally, you can see who wrote this thing or view the copyright notice. Enjoy!

Epidemiologists and econometricians are often interested
in similar topics—socioeconomic position and health
outcomes—but the different languages that epidemiologists and economists use to interpret and discuss their
results can create a barrier to mutual communication. This
glossary defines key terms used in econometrics and
epidemiology to assist in bridging this gap.

Online and Open-Source Resources for Data Sourcing, Visualization, and Analysis

Hadley Wickham's R development master class

Google my-maps print converter

Mahalanobis distance (MD) is an alternative to Euclidean distance (ED). Unlike ED, MD takes
correlations into account and is scale invariant.We are interested in the application of MD as a
measure of dissimilarity between two random vectors, x and y.These could be covariate vectors
for person x and person y.Mahalanobis distance is used in matching algorithms to find “nearest
neighbors” in multidimensional space.

Harvey Pollack, author of this NBA statistical
guide, and now a member of the Springfield,
Mass. Hall of Fame as well as 12 others, ranks as
the “Last of the Mohicans”, being the only individual
who worked in the NBA in its inaugural 1946-
47 season who is still working for an NBA team
today. Thus, like the NBA, he is now in his 64rd
season. He started as the assistant publicity director
of the old Philadelphia Warriors (now Golden
State) in 1946-47 and midway through the 1952-
53 season, he became head of media relations for
the Warriors. He maintained that post until the
spring of 1962, when the franchise was sold to
San Francisco. During the 1962-63 season, when
there was no team in Philadelphia, neutral court
games were played here and he did the publicity
to maintain his NBA connection. Then in 1963-64,
the Syracuse franchise was shifted to Philadelphia
and the franchise was renamed the 76ers. He
served as the media relations director of the 76ers
until the 1987-88 season, when he assumed the
duties of director of statistical information for the
team, a position he still holds. Throughout his
Warriors and 76ers career, he has been in charge
of the statistical crew at the team’s home games,
first doing the stats manually and now being the
head caller on the computer system. During these
years, he demonstrated a forte in statistics, both
normal ones and unusual ones. Long before the
league adopted the following categories, he kept them for Philadelphia home games: minutes played, blocked shots, offensive
and defensive rebounds, steals and turnovers. At the same time, he began tabulating categories the league didn’t do and these
esoteric items and tables eventually became part of his widely read stat guide. Some of the novel analysis included distance of
every field goal; dunks; technical fouls; most prevelant first, last and middle names of players; plus-minus evaluation; individual
scoring by periods; four-point plays; triple-doubles; injuries; 48-minute projections and many more. Because of his proclivity
to stats, then Philadelphia Bulletin writer George Kiseda pinned the moniker of “Super Stat” on him in 1966. In addition to
his NBA duties, he also heads basketball stat crews at six major colleges in the Philadelphia area; and heads the crew at the
Major Indoor Lacrosse League games of the Wings and the Soul in the Arena Football League. His past includes 15 years as the
head of the Baltimore Colts NFL stat crew and in football also in Philadelphia led the crew for the Philadelphia Stars, Bell and
Bulldogs. He currently has been Temple University’s football statistician since 1945. He’s En Route to The Guiness Book of Records
by wearing a different t-shirt every day since June 29, 2003. He reached the seven-year mark on June 28, 2010 with his
2,555th shirt and is now past the 2,500 mark en route to 3,000.

Charlotte Wickham's class

Looking for a unique gift for a friend who loves sterling silver? This elegant cross pendant looks beautiful on the Charleston Rice Bead necklaces, which are also available.. Whether you’re looking for a gift or needing something new for yourself, you’ll love this beautiful. Measures 1 7/8” X 1 1/8”

Building skills in python textbook; includes lots on strings

Sterling silver jewelry based on the elaborate cast iron motif in the railing in the entry hall of the Aiken-Rhett House, c. 1820. Made in Charleston by G2. 7/8" DIA. on 16" chain

The hive plot is a rational visualization method for drawing networks. Nodes are mapped to and positioned on radially distributed linear axes based on network structural properties. Edges are drawn as curved links. Simple and interpretable.



The purpose of the hive plot is to establish a new baseline for network visualization to give the reader a passing chance to understand important aspects of a network's structure. Unlike hairballs, hive plots are excellent at managing the visual complexity arising from large number of edges and exposing both trends and outlier patterns in network structure.

Handcut topography

The recording and sharing of cooking recipes, a human ac-
tivity dating back thousands of years, naturally became an
early and prominent social use of the web. The resulting
online recipe collections are repositories of ingredient com-
binations and cooking methods whose large-scale and vari-
ety yield interesting insights about both the fundamentals of
cooking and user preferences. These insights include pref-
erences for cooking methods depending on the nutritional
value extracted from food, and the geographic region from
which the recipe originates. At the level of an individual in-
gredient we measure whether it tends to be essential or can
be dropped or added, and whether its quantity can be modi-
ed. We also construct two types of networks to capture the
relationships between ingredients. The complement network
captures which ingredients tend to co-occur frequently, and
is composed of two large communities: one savory, the other
sweet. The substitute network, derived from user generated
suggestions for modications, can be decomposed into many
communities of functionally equivalent ingredients, and cap-
tures users' preference for healthier variants a recipe. Our
experiments reveal that recipe ratings can be well predicted
with features derived from combinations of ingredient net-
works and nutrition information.

We discuss a variety of methods for quantifying categorical multivariate data. These methods
have been proposed in many different countries, by many different authors, under many different
names. In the first major section of the paper we analyze the many different methods and show
that they all lead to the same equations for analyzing the same data. In the second major section
of the paper we introduce the notion of a duality diagram, and use this diagram to synthesize the
many superficially different methods into a single method.
Key words: multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis,
categorical multivariate data

Places & Spaces: Mapping Science is meant to inspire cross-disciplinary discussion on how to best track and communicate human activity and scientific progress on a global scale. It has two components: the physical part supports the close inspection of high quality reproductions of maps for display at conferences and education centers; the online counterpart provides links to a selected series of maps and their makers along with detailed explanations of how these maps work. The exhibit is a 10-year effort. Each year, 10 new maps are added resulting in 100 maps total in 2014.

Introduction to Statistical Computing -- R Syllabus

White and red light
100 lumen white CREE LED and 3 red LEDs

Fully prepared
6 light modes, including emergency strobe

With financial support from the Sloan Foundation, I am collaborating with Stephen Ansolabehere at Harvard University on a large data collection endeavor. 

We are collecting precinct-level results for as many U.S. elections as possible since 2000, and then linking these results to GIS boundary files of voting tabulation districts.  These VTDs can easily be linked to 2000 and 2010 census blocks. 

Our geo-referenced election data are being fed into newly-developed online redistricting software, which can be used as part of a more open, transparent redistricting process.  To draw your own electoral districts and calculate various statistics of interest, please visit one of the following:

Items customers added to Wish Lists and registries most often on Amazon

We discuss a variety of methods for quantifying categorical multivariate data. These methods have been proposed in many different countries, by many different authors, under many different names. In the first major section of the paper we analyze the many different methods and show that they all lead to the same equations for analyzing the same data. In the second major section of the paper we introduce the notion of a duality diagram, and use this diagram to synthesize the many superficially different methods into a single method.

Learn C The Hard Way will fill in the "beginning programmer" gap in the literature on the C Programming language. It will teach good modern C programming practices and avoid habits that lead to buffer overflows, security defects, and other problems that even experienced programmers cause. This book is designed for:

The program supports scientific research that advances knowledge and understanding of citizenship, government, and politics. Research proposals are expected to be theoretically motivated, conceptually precise, methodologically rigorous, and empirically oriented. Substantive areas include, but are not limited to, American government and politics, comparative government and politics, international relations, political behavior, political economy, and political institutions. In recent years, program awards have supported research projects on bargaining processes; campaigns and elections, electoral choice, and electoral systems; citizen support in emerging and established democracies; democratization, political change, and regime transitions; domestic and international conflict; international political economy; party activism; and political psychology and political tolerance. The program also has supported research experiences for undergraduate students and infrastructural activities, including methodological innovations, in the discipline.

This is a recording of my talk at the NICAR (National Institute of Computer-Assisted Reporting) conference last week, where I discuss some of our recent work at the AP with the Iraq and Afghanistan war logs.

Watch Whole Programmes
You can watch the entirety of any of the 79 individual episodes from the Life Collection by choosing a series from the menu below and then choosing an individual episode.

Mendeley most read papers, see also: http://www.mendeley.com/social-sciences/

The MCL algorithm is short for the Markov Cluster Algorithm, a fast and scalable unsupervised cluster algorithm for networks (also known as graphs) based on simulation of (stochastic) flow in graphs. The algorithm was invented/discovered by Stijn van Dongen (that is, me) at the Centre for Mathematics and Computer Science (also known as CWI) in the Netherlands. The PhD thesis Graph clustering by flow simulation is centered around this algorithm, the main topics being the mathematical theory behind it, its position in cluster analysis and graph clustering, issues concerning scalability, implementation, and benchmarking, and performance criteria for graph clustering in general. The work for this thesis was carried out under supervision of Jan van Eijck and Michiel Hazewinkel. The thesis, technical reports, and preprints can be found in this section. For quickly getting an idea of how MCL operates, consider the flow pictorial at the top of this page, or even better, have a look at an animation of the MCL process.

My question has to do with the choice between OLS and clustered standard errors, on the one hand, and hierarchical modeling, on the other hand. In finance and perhaps to a lesser extent in economics generally, people seem to use clustered standard errors. Hierarchical modeling seems to be very rare. When I ask financial economists about it, no one even knows what it is. Everyone, however, knows about clustered standard errors. The only reason why I know about hierarchical modeling is that an epidemiologist brought it to my attention. Eventually, I found your book.

Overview



Adult Red-shouldered Hawk, Monterey, California, December. Photo by Brian L. Sullivan.
A real-time, online checklist program, eBird has revolutionized the way that the birding community reports and accesses information about birds. Launched in 2002 by the Cornell Lab of Ornithology and National Audubon Society, eBird provides rich data sources for basic information on bird abundance and distribution at a variety of spatial and temporal scales.

eBird's goal is to maximize the utility and accessibility of the vast numbers of bird observations made each year by recreational and professional bird watchers. It is amassing one of the largest and fastest growing biodiversity data resources in existence. For example, in January 2010, participants reported more than 1.5 million bird observations across North America!

The observations of each participant join those of others in an international network of eBird users. eBird then shares these observations with a global community of educators, land managers, ornithologists, and conservation biologists. In time these data will become the foundation for a better understanding of bird distribution across the western hemisphere and beyond.

How does it work?
eBird documents the presence or absence of species, as well as bird abundance through checklist data. A simple and intuitive web-interface engages tens of thousands of participants to submit their observations or view results via interactive queries into the eBird database. eBird encourages users to participate by providing Internet tools that maintain their personal bird records and enable them to visualize data with interactive maps, graphs, and bar charts. All these features are available in English, Spanish, and French.

A birder simply enters when, where, and how they went birding, then fills out a checklist of all the birds seen and heard during the outing. eBird provides various options for data gathering including point counts, transects, and area searches. Automated data quality filters developed by regional bird experts review all submissions before they enter the database. Local experts review unusual records that are flagged by the filters.

Data integration
eBird collects observations from birders through portals managed and maintained by local partner conservation organizations. In this way eBird targets specific audiences with the highest level of local expertise, promotion, and project ownership. Portals may have a regional focus (aVerAves, eBird Puerto Rico) or they may have more specific goals and/or specific methodologies (Louisiana Winter Bird Atlas, Bird Conservation Network eBird). Each eBird portal is fully integrated within the eBird database and application infrastructure so that data can be analyzed across political and geographic boundaries. For example, observers entering observations of Cape May Warbler from Puerto Rico can view those data separately, or with the entire Cape May Warbler data set gathered by eBird across the western hemisphere.

Data accessibility
eBird data are stored in a secure facility and archived daily, and are accessible to anyone via the eBird web site and other applications developed by the global biodiversity information community. For example, eBird data are part of the Avian Knowledge Network (AKN), which integrates observational data on bird populations across the western hemisphere. In turn, the AKN feeds eBird data to international biodiversity data systems, such as the Global Biodiversity Information Facility (GBIF). In this way any contribution made to eBird increases our understanding of the distribution, richness, and uniqueness of the biodiversity of our planet.

Moreofit is the first (and best) website similarity search engine. Give moreofit a website you're interested in, and it'll suggest to you alternative highly related and popular websites to explore.

Arthur Robinson Award for Best Printed Map: A map or map series designed specifically for print media.

GGplot2 is a ubiquitous and powerful package, but many of the features and functions are not easy to find. I've found a couple of useful functions lately and I'd like to learn some more. It's possible this is a Community Wiki topic.