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Title:

Martres y virgenes: la religin popular en Mxico y en Nicaragua

Publisher:

Asociacin Nueva Antropologa A.C.

Year of Publication:

1990-01-01T00:00:00Z

Source:

Revista Nueva Antropologa, Vol 11, Iss 37, Pp 85-106 (1990)

Revista Nueva Antropologa, Vol 11, Iss 37, Pp 85-106 (1990) Minimize

Document Type:

article

Language:

Spanish

Subjects:

LCC:Anthropology ; LCC:GN1-890 ; LCC:Geography. Anthropology. Recreation ; LCC:G

LCC:Anthropology ; LCC:GN1-890 ; LCC:Geography. Anthropology. Recreation ; LCC:G Minimize

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Title:

Rompiendo esquemas. El retrato etnogrfico de una familia de travestes en el Oaxaca urbano

Description:

El presente artнculo estб basado en entrevistas a un grupo de hombres travestнes dedicados a la prostituciуn y que conforman en el Grupo Uniуn de Lucha por la Prevenciуn de Enfermedades Transmisibles. Integraron esta organizaciуn para luchar por el derecho a trabajar en la calle y para promover la educaciуn sobre el sida entre sus clientes y en ...

El presente artнculo estб basado en entrevistas a un grupo de hombres travestнes dedicados a la prostituciуn y que conforman en el Grupo Uniуn de Lucha por la Prevenciуn de Enfermedades Transmisibles. Integraron esta organizaciуn para luchar por el derecho a trabajar en la calle y para promover la educaciуn sobre el sida entre sus clientes y en foros pъblicos. El autor nos presenta el retrato etnogrбfico de Leslie y de lo que ella define como su familia: Adriбn es su marido, Tania su compaсera de cuarto y amiga de quien se refiere tambiйn como hermana, e Iridiann Leslie niсa de cuatro aсos que los tres han adoptado como su hija. Minimize

Publisher:

Centro de Investigaciones y Estudios Superiores en Antropologa Social

Year of Publication:

2002-01-01T00:00:00Z

Source:

Desacatos, Iss 9, Pp 89-95 (2002)

Desacatos, Iss 9, Pp 89-95 (2002) Minimize

Document Type:

article

Language:

Spanish

Subjects:

LCC:Anthropology ; LCC:GN1-890 ; LCC:Geography. Anthropology. Recreation ; LCC:G

LCC:Anthropology ; LCC:GN1-890 ; LCC:Geography. Anthropology. Recreation ; LCC:G Minimize

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Title:

Approximately optimal blocking algorithm

Author:

Description:

Blocking and graph theory

Blocking and graph theory Minimize

Contributors:

The Pennsylvania State University CiteSeerX Archives

Year of Publication:

2015-03-04

Source:

http://www.princeton.edu/~mjh5/Talks/SFASA6-20-13.pdf

http://www.princeton.edu/~mjh5/Talks/SFASA6-20-13.pdf Minimize

Document Type:

text

Language:

en

Rights:

Metadata may be used without restrictions as long as the oai identifier remains attached to it.

Metadata may be used without restrictions as long as the oai identifier remains attached to it. Minimize

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Title:

Approximately optimal blocking algorithm References Goal

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Description:

Our goal: Devise a blocking method for experiments that ensures good covariate balance between treatment groups. Allow for designs with multiple treatment categories and multiple replications of each treatment within each block. Efficient enough to be used in large experiments (hundreds of thousands to millions of observations). Michael J. Higgi...

Our goal: Devise a blocking method for experiments that ensures good covariate balance between treatment groups. Allow for designs with multiple treatment categories and multiple replications of each treatment within each block. Efficient enough to be used in large experiments (hundreds of thousands to millions of observations). Michael J. Higgins Optimal blocking Minimize

Contributors:

The Pennsylvania State University CiteSeerX Archives

Year of Publication:

2015-03-03

Source:

http://www.princeton.edu/~mjh5/Talks/JSM08-05-13.pdf

http://www.princeton.edu/~mjh5/Talks/JSM08-05-13.pdf Minimize

Document Type:

text

Language:

en

Subjects:

PROBLEM ; In randomized controlled experiments ; depending

PROBLEM ; In randomized controlled experiments ; depending Minimize

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Metadata may be used without restrictions as long as the oai identifier remains attached to it.

Metadata may be used without restrictions as long as the oai identifier remains attached to it. Minimize

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Title:

4 Estimation

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Description:

Blocking and graph theory Approximately optimal blocking algorithm Estimation of treatment effects Future work

Blocking and graph theory Approximately optimal blocking algorithm Estimation of treatment effects Future work Minimize

Contributors:

The Pennsylvania State University CiteSeerX Archives

Year of Publication:

2015-03-04

Source:

http://www.princeton.edu/~mjh5/Talks/USCensus3-5-13/

http://www.princeton.edu/~mjh5/Talks/USCensus3-5-13/ Minimize

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text

Language:

en

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References

References Minimize

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Metadata may be used without restrictions as long as the oai identifier remains attached to it.

Metadata may be used without restrictions as long as the oai identifier remains attached to it. Minimize

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Title:

©2011 De Gruyter. All rights reserved. Sharper p-Values for Stratified Election Audits

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Description:

Vote-tabulation audits can be used to collect evidence that the set of winners of an election (the outcome) according to the machine count is correct — that it agrees with the outcome that a full hand count of the audit trail would show. The strength of evidence is measured by the p-value of the hypothesis that the machine outcome is wrong. Smal...

Vote-tabulation audits can be used to collect evidence that the set of winners of an election (the outcome) according to the machine count is correct — that it agrees with the outcome that a full hand count of the audit trail would show. The strength of evidence is measured by the p-value of the hypothesis that the machine outcome is wrong. Smaller p-values are stronger evidence that the outcome is correct. Most states that have election audits of any kind require audit samples stratified by county for contests that cross county lines. Previous work on p-values for stratified samples based on the largest weighted overstatement of the margin used upper bounds that can be quite weak. Sharper p-values can be found by solving a 0-1 knapsack problem. For example, the 2006 U.S. Senate race in Minnesota was audited using a stratified sample of 2–8 precincts from each of 87 counties, 202 precincts in all. Earlier work (Stark 2008b) found that the p-value was no larger than 0.042. We show that it is no larger than 0.016: much stronger evidence that the machine outcome was correct. We also give algorithms for choosing how many batches to draw from each stratum to reduce the counting burden. In the 2006 Minnesota race, a stratified sample about half as large — 109 Minimize

Contributors:

The Pennsylvania State University CiteSeerX Archives

Year of Publication:

2013-10-10

Source:

http://www.stat.berkeley.edu/~mjh4646/Papers/optStrat11.pdf

http://www.stat.berkeley.edu/~mjh4646/Papers/optStrat11.pdf Minimize

Document Type:

text

Language:

en

Subjects:

helpful conversations and to ano

helpful conversations and to ano Minimize

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Title:

Sharper p-Values For Stratified Election Audits

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Description:

Vote-tabulation audits can be used to collect evidence that the set of winners (the outcome) of an election according to the machine count is correct—that it agrees with the outcome that a full hand count of the audit trail would show. The strength of evidence is measured by the p-value of the hypothesis that the machine outcome is wrong. Smalle...

Vote-tabulation audits can be used to collect evidence that the set of winners (the outcome) of an election according to the machine count is correct—that it agrees with the outcome that a full hand count of the audit trail would show. The strength of evidence is measured by the p-value of the hypothesis that the machine outcome is wrong. Smaller p-values are stronger evidence that the outcome is correct. Most states that have election audits of any kind require audit samples stratified by county for contests that cross county lines. Previous work on p-values for stratified samples based on the largest weighted overstatement of the margin used upper bounds that can be quite weak. Sharper p-values can be found by solving a 0-1 knapsack problem. For example, the 2006 U.S. Senate race in Minnesota was audited using a stratified sample of 2–8 precincts from each of 87 counties, 202 precincts in all. Earlier work [Stark, 2008b] found that the p-value was no larger than 0.042. We show that it is no larger than 0.016: much stronger evidence that the machine outcome was correct. We also give algorithms for choosing how many batches to draw from each stratum to reduce the counting burden. In the 2006 Minnesota race, a stratified sample about half as large—109 precincts versus 202—would have given just as small a p-value if the observed maximum overstatement were the same. This would require drawing 11 precincts instead of 8 from the largest county, and 1 instead of 2 from the smallest counties. We give Minimize

Contributors:

The Pennsylvania State University CiteSeerX Archives

Year of Publication:

2013-08-02

Source:

http://people.csail.mit.edu/rivest/pubs/HRS11.pdf

http://people.csail.mit.edu/rivest/pubs/HRS11.pdf Minimize

Document Type:

text

Language:

en

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Title:

Sharper p-Values For Stratified Election Audits

Author:

Description:

Vote-tabulation audits can be used to collect evidence that the set of winners (the outcome) of an election according to the machine count is correct—that it agrees with the outcome that a full hand count of the audit trail would show. The strength of evidence is measured by the p-value of the hypothesis that the machine outcome is wrong. Smalle...

Vote-tabulation audits can be used to collect evidence that the set of winners (the outcome) of an election according to the machine count is correct—that it agrees with the outcome that a full hand count of the audit trail would show. The strength of evidence is measured by the p-value of the hypothesis that the machine outcome is wrong. Smaller p-values are stronger evidence that the outcome is correct. Most states that have election audits of any kind require audit samples stratified by county for contests that cross county lines. Previous work on p-values for stratified samples based on the largest weighted overstatement of the margin used upper bounds that can be quite weak. Sharper p-values can be found by solving a 0-1 knapsack problem. For example, the 2006 U.S. Senate race in Minnesota was audited using a stratified sample of 2–8 precincts from each of 87 counties, 202 precincts in all. Earlier work [Stark, 2008b] found that the p-value was no larger than 0.042. We show that it is no larger than 0.016: much stronger evidence that the machine outcome was correct. We also give algorithms for choosing how many batches to draw from each stratum to reduce the counting burden. In the 2006 Minnesota race, a stratified sample about half as large—109 precincts versus 202—would have given just as small a p-value if the observed maximum overstatement were the same. This would require drawing 11 precincts instead of 8 from the largest county, and 1 instead of 2 from the smallest counties. We give Minimize

Contributors:

The Pennsylvania State University CiteSeerX Archives

Year of Publication:

2013-07-20

Source:

http://people.csail.mit.edu/rivest/HigginsRivestStark-SharperPValuesForStratifiedElectionAudits.pdf

http://people.csail.mit.edu/rivest/HigginsRivestStark-SharperPValuesForStratifiedElectionAudits.pdf Minimize

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text

Language:

en

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3 4 5 6 7 8

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title: Epigenetic and phenotypic consequences of a truncation disrupting the imprinted domain on distal mouse chromosome 7 running title: GENOMIC IMPRINTING FROM A TRUNCATED CHROMOSOME

title: Epigenetic and phenotypic consequences of a truncation disrupting the imprinted domain on distal mouse chromosome 7 running title: GENOMIC IMPRINTING FROM A TRUNCATED CHROMOSOME Minimize

Contributors:

The Pennsylvania State University CiteSeerX Archives

Year of Publication:

2008-07-01

Source:

http://mcb.asm.org/cgi/reprint/MCB.01019-07v1.pdf

http://mcb.asm.org/cgi/reprint/MCB.01019-07v1.pdf Minimize

Document Type:

text

Language:

en

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Title:

Sharper p-Values for Stratified Election Audits

Author:

Description:

Votes in an election are often counted by machines. Winners are legally determined by what a full hand count would show. Risk-limiting election audits can help validate correct election outcomes. Moreover, when hand-count winners differ from machine-count winners, regardless of the source of the differences, these audits have a guaranteed pre-sp...

Votes in an election are often counted by machines. Winners are legally determined by what a full hand count would show. Risk-limiting election audits can help validate correct election outcomes. Moreover, when hand-count winners differ from machine-count winners, regardless of the source of the differences, these audits have a guaranteed pre-specified chance of escalating to a full hand-count thereby correcting the election outcome. Most states that have election audits require each county to independently select a random set of precincts for audit. For contests that span multiple counties, this amounts to a stratified random sample of precincts. Ballots in each audited precinct are counted by hand and differences between the hand count and the machine count are recorded. Using these differences, we test the null hypothesis that the machine-count winners differ from the hand-count winners. We compute sharp Minimize

Contributors:

The Pennsylvania State University CiteSeerX Archives

Year of Publication:

2015-03-05

Source:

http://www.princeton.edu/~mjh5/Posters/PolmethPoster13.pdf

http://www.princeton.edu/~mjh5/Posters/PolmethPoster13.pdf Minimize

Document Type:

text

Language:

en

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