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Sample tables PhD thesis Maarten van der Sande
No full text<p>Sample tables for the PhD table of Maarten van der Sande</p>
PLEXOS-World - MESSAGEix-GLOBIOM Soft-Link
No full textThis dataset includes data related to a soft-linking study of PLEXOS-World with the Integrated Assessment Model MESSAGEix-GLOBIOM. The dataset includes the PLEXOS-World model in raw data format and all input data including all demand- and renewable capacity factor timeseries. Use of the data/model is upon citation of the journal paper and dataset following the underneath CC license without further restrictions.
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This work by Maarten Brinkerink is licensed under a Creative Commons Attribution 4.0 International License.Based on a work at https://doi.org/10.1016/j.envsoft.2022.105336
Kants snauw naar Benjamin Constants vermeend recht om te liegen negeert intermediaire en politieke principe
No full textAndreas Kinneging, P. De Hert & Maarten Colette (eds.), Kant. Vijftien filosofen over grondslagen en grenzen van de rede, We critically discuss Kant's Über ein vermeintes recht aus menschenliebe zu lügen (1797) and we ask the question why so many moral philosophers keep on defending these theories ignoring the broader context that their colleauges from political theory know so well
Three models for combining information from causal indicators
Full text linkSometimes we have multiple measures of the same concept. Combining the information of these multiple measures would allow us to improve the measurement. When combining the information from different indicators one needs to distinguish between two types of relationships between the observed indicators and the underlying latent variable: either the latent variable influences the indicators or the indicators influence the latent variable. To distinguish between these two situations some authors, following Bollen (Quality and Quantity, 1984) and Bollen and Lennox (Psychological Bulletin, 1991), call the observed variables "effect indicators" when they are influenced by the latent variable, while they call the observed variables "causal indicators" when they influence the latent variable. Distinguishing between these two is important as they require very different strategies for recovering the latent variable. In a basic (exploratory) factor analysis, which is a model for effect indicators, one assumes that the only thing that the observed variables have in common is the latent variable, so any correlation between the observed variables must be due to the latent variable, and it is this correlation that is used to recover the latent variable. In the models for causal indicators that will discussed in this talk, we assume that the latent variable is a weighted sum of the observed variables (and optionally an error term), and the weights are estimated such that they are optimal for predicting the dependent variable. The three models for dealing with causal indicators that will be discussed are: A model with "sheaf coefficients" (Heise, Sociological Methods & Research, 1972), a model with "parametricaly weighted covariates" (Yamaguchi, Sociological Methodology, 2002), and a Multiple Indicators and Multiple Causes (MIMIC) model (Hauser Goldberger, Sociological Methodoloy, 1971). The latter two can be estimated using -propcnsreg-, while the former can be estimated using -sheafcoef-. Both are available from SSC.
Maarten Koelemay Family
No full textPhotograph shows Maarten Koelemay, manager of the Orange Hotel, with his family. Back row: George Rienstra; John Koelemay; Piet Koelemay; Will Block holding daughter Clara; and Klaas Koelemay. Second Row: Mrs. John Koelemay; Clara Koelemay (later Mr. S. R. Carter); Nelly Rienstra (later Mrs. Klaas Koelemay); Mrs. George Rienstra (nee Kate Koelemay); Mrs. Maarten Koelemay; Mrs. Will Block (nee Diew Koelemay); and Maarten Koelemay. In front: Lawrence Koelemay holding Martin (Sandy) Rienstra; Jan Rienstra; twins Anna and Albert Block; and Martin Koelemay, Jr., son of John Koelemay
Sint Maarten
No full textIn September 2017, Hurricane Irma
devastated housing on the island of Sint Maarten. Between
January and March of 2019, a World Bank team carried out
this Rapid Housing Sector Diagnostic. The Diagnostic is
based on information gathered during a one-week mission to
Sint Maarten, desktop research, and analysis of drone- and
street-view imagery gathered by the World Bank’s Global
Program for Resilient Housing. In the field, the team met
with representatives of the government departments
responsible for housing, as well as private sector players
(developers, builders, engineers, banks, union
representatives). The team also visited several social
housing developments and informal settlements. Because this
is the first assessment undertaken in Sint Maarten since the
hurricane, housing data remains scarce. The Diagnostic’s
findings are therefore more qualitative than quantitative.
They do, however, present a broad picture of the current
state of the island’s housing sector, which should be viewed
as the start of a dialogue on housing with the Sint Maarten
government, and as a foundation for the Bank to develop a
longer-term engagement in the sector
Assessing the reasonableness of an imputation model
Full text linkMultiple imputation is a popular way of dealing with missing values under the missing at random (MAR) assumption. Imputation models can become quite complicated, for instance, when the model of substantive interest contains many interactions or when the data originate from a nested design. This paper will discuss two methods to assess how plausible the results are. The first method consists of comparing the point estimates obtained by multiple imputation with point estimates obtained by another method for controlling for bias due to missing data. Second, the changes in standard error between the model that ignores the missing cases and the multiple imputation model are decomposed into three components: changes due to changes in sample size, changes due to uncertainty in the imputation model used in multiple imputation, and changes due to changes in the estimates that underlie the standard error. This decomposition helps in assessing the reasonableness of the change in standard error. These two methods will be illustrated with two new user written Stata commands.
Interview with Maarten Schmidt
Full text linkAn interview in three sessions in April and May of 1996 with Maarten Schmidt, Francis L. Moseley Professor of Astronomy, emeritus, in the Division of Physics, Mathematics, and Astronomy. He recalls growing up in Groningen, Holland, during German occupation in World War II; his early education and friendship with Jan Borgman, with whom he built a telescope; photographing the solar eclipse of July 9, 1945. Matriculation at Groningen University in 1946. At an astronomy conference in 1949, Jan Oort asks him to become an assistant at Leiden Observatory. Graduate study at Leiden, where he works with Oort on the brightness of comets. Recalls his time in Kenya, August 1950 to December 1951, making measurements of declination on the equator with G. van Herk. Comments on 1951 discovery of 21-centimeter line and his radio observations of galactic structure with Oort and Henk van de Hulst. PhD from Leiden in 1956; thesis on the distribution of mass in Milky Way galaxy. Comes to Mount Wilson Observatory on a two-year Carnegie Fellowship. Returns to Leiden in 1958; back to Pasadena a year later, as an associate professor at Caltech, where he works in early 1960s on exchange between stars and galactic gas, and on size, mass distribution and rotation of Milky Way galaxy. At Palomar in early 1960s--working with radio astronomer Tom Matthews, who was at Owens Valley--he takes spectra of optical objects identified with radio sources, which leads to the discovery of quasars. Recalls quasar work and contributions of Jesse Greenstein, John Bolton, J. Beverly Oke, Allan Sandage, Cyril Hazard, and later Richard Green, James Gunn, and Donald Schneider. Recalls early arguments by Halton Arp, Fred Hoyle, Geoffrey Burbidge that quasars were not cosmological objects. Recalls use of CCDs in 1980s-1990s and the discovery in 1993 of a quasar with a redshift of 4.9, largest redshift on record. Comments on his work in X-ray astronomy and gamma-ray astronomy, with ROSAT [Röntgen X-ray Satellite] and the Compton Gamma-Ray Observatory [GRO]. Recalls his graduate students, among them Nobel laureate Robert W. Wilson (co-discoverer of cosmic microwave background). Discusses his administrative career at Caltech, 1972-1980: three years as executive officer for astronomy, three years as PMA division chairman, two years as director of the Hale Observatories. Comments on the concurrent deterioration of relations between Caltech and the Carnegie Institution. Recalls his presidency of the American Astronomical Society, 1984-1986, and his work on behalf of VLBA [Very Large Baseline Array] of radio telescopes and National Science Foundation's astronomy budget. Concludes with a discussion of his chairmanship of AURA [Association of Universities for Research in Astronomy] board, 1992-1995
IN MEMORIAM: Maarten Dingemans
No full textMaarten Dingemans passed away due to heart failure in the hospital on January 12, 2017. Maarten was born 15 Aug 1943 in Haarlem, the Netherlands, where he attended high-school at the Lorentz Lyceum. He started his studies at Delft University of Technology in 1962; initially in Mechanical Engineering, and later in the Faculty of Mathematics.

After receiving his Ir degree in Mathematics from Delft University of Technology in September 1970, Maarten started working at Delft Hydraulics in 1970 as a Mathematical Engineer until his retirement in 2007. During his career at Delft Hydraulics, Maarten involved in numerous coastal research grants and industrial engineering projects. One of the well-known laboratory benchmark experiments have been nick-named as “Dingemans’ bar†experiment. 

On November 21, 1994 Maarten received his PhD degree from Delft University of Technology. Prof. dr. ir. A.J. Hermans was his promoter. The World Scientific Publishing Co later published his doctoral thesis, entitled “Water wave propagation over uneven bottomsâ€, as a two-part book with the same title in 1997. Many students, researchers and engineers in the coastal engineering community have studied and referenced this book. 

In 1985 he continued working at Delft Hydraulics at De Voorst and he moved his family to Emmeloord. On September 1st 2007, at age of 64, he officially retired from Delft Hydraulics. However, he kept himself busy attending conferences and workshops all over the world, and writing and reviewing various articles. At the time of his passing he was still working on an article together with Dr. ir. Gert Klopman.

Throughout his entire life Maarten has faced continued health challenges. His courage to cope with ill health has always been inspiration to many of his friends and colleagues. Maarten enjoyed cycling, especially cross-country bicycle journeys during his healthy days. He once wrote: “Long-distance cycling to and from work stimulates the realization that things do not run as smoothly as one wishes they should.â€

Maarten’s biggest loss in life was the passing of his wife Marja (also a mathematician and a colleague at Delft Hydraulics) 21 years ago now. Maarten dedicated his book to the memory of his beloved wife Marja.</jats:p
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