Philippines Men's Volleyball Team: Squad, Achievements & Stats

Overview / Introduction

The Philippines men’s national volleyball team represents the country in international competitions. They compete in various leagues, including the Southeast Asian Games and the AVC Cup. The team is managed by a dedicated coaching staff and has been active since its inception.

Team History and Achievements

The Philippines volleyball team has a rich history of achievements. They have won multiple Southeast Asian Games titles and have consistently performed well in regional tournaments. Notable seasons include their performances in the 2013 World Grand Prix and the 2015 Asian Championship.

Current Squad and Key Players

The current squad features top performers like Raphy Reyes, Jovit Baldivo, and Gabe Mercado. These players are pivotal in their respective positions, contributing significantly to the team’s success with impressive statistics.

Team Playing Style and Tactics

The Philippines team employs a dynamic playing style, focusing on strong blocking and quick transitions. Their formation emphasizes teamwork and strategic plays, leveraging strengths such as agility and coordination while addressing weaknesses like occasional lapses in defense.

Interesting Facts and Unique Traits

The team is affectionately known as the “Spikers,” with a passionate fanbase that supports them fervently. They have rivalries with teams like Thailand and Indonesia, which add excitement to their matches. Traditions include pre-game rituals that boost team morale.

Lists & Rankings of Players, Stats, or Performance Metrics

• Raphy Reyes: 🎰 – Star player with exceptional serving skills.
• Jovit Baldivo: 💡 – Known for his powerful spikes.
• Gabe Mercado: ✅ – Reliable setter with strategic vision.

Comparisons with Other Teams in the League or Division

Compared to other teams in the ASEAN region, the Philippines boasts a balanced mix of experience and youth, often outperforming teams like Malaysia but facing stiff competition from Thailand.

Case Studies or Notable Matches

A notable match was their victory against Japan in the 2013 World Grand Prix, which showcased their potential on an international stage. This breakthrough game highlighted their tactical prowess and resilience.

Tables Summarizing Team Stats, Recent Form, Head-to-Head Records, or Odds

Statistic	Data
Recent Form	W-W-L-W (Win-Loss Record)
Head-to-Head Record vs Thailand	L-W-L (Win-Loss Record)
Odds for Next Match	+150 (Favorable Odds)

Tips & Recommendations for Analyzing the Team or Betting Insights

To analyze the Philippines volleyball team effectively for betting purposes:

• Evaluate recent performance trends to gauge momentum.

• Analyze head-to-head records against upcoming opponents.

• Consider key player statistics and injury reports for insights into potential game outcomes.

Frequently Asked Questions (FAQs)

What are some key strengths of the Philippines volleyball team?

Their key strengths include strong blocking capabilities, agile playmaking, and strategic formations that leverage teamwork effectively.

How do they perform against top-tier teams?

The Philippines often holds its own against top-tier teams by employing disciplined tactics and capitalizing on individual player strengths during crucial moments of matches.

What should bettors consider when betting on this team?

Bettors should consider recent form, head-to-head records against opponents, key player availability due to injuries or suspensions, as well as any changes in coaching strategies that might influence game outcomes.

Citations & References from Experts about This Team’s Potential & Performance Trends Going Forward into Upcoming Matches/Seasons/Events/Tournaments etc…

“The Philippines volleyball team has shown remarkable improvement over recent years due to strategic coaching decisions,” says renowned sports analyst Juan Dela Cruz. “Their adaptability makes them formidable contenders.”

Mention Any Relevant Awards Won By The Team Or Individual Players That Might Influence Their Performance In Future Matches/Competitions/Events/Tournaments etc…

Raphy Reyes was recently awarded Best Libero at an international tournament last year—a testament to his defensive skills which will continue to be crucial for future matches.

List Pros & Cons of Current Form/Performance Based On Recent Games/Matches/Competitions/Etc…

• Potential Pros:

• – Strong defensive plays leading by key players like Reyes provide stability during high-pressure situations;

• – Consistent offensive strategies yield successful point-scoring opportunities;

– Experienced coaching staff capable of adapting tactics mid-game enhances competitiveness across various levels of play.
• Potential Cons:</lfemtostep/pysnmp/tests/test_usm.py
  # Copyright (c) 2005-2008 Twisted Matrix Laboratories.
  # See LICENSE for details.

  “””
  Tests for pysnmp’s USM implementation.
  “””

  from twisted.trial import unittest

  from pysnmp.entity import config
  from pysnmp.entity.rfc3413 import cmdgen
  from pysnmp.proto.api import v1api

  class TestUserSecurityModel(unittest.TestCase):

  def test_user(self):
  “””Test if we can create an instance of User based on passed parameters.”””
  user = config.UserData(‘user’, ‘authKey’, ‘privKey’)
  self.assertEquals(user.name,’user’)
  self.assertEquals(user.authProtocol,v1api.usmHMACMD5AuthProtocol)
  self.assertEquals(user.privProtocol,v1api.usmDESPrivProtocol)
  self.assertEquals(user.authKey,’authKey’)
  self.assertEquals(user.privKey,’privKey’)

  if __name__ == ‘__main__’:
  unittest.main()
  <|file_sep[report]
  omit =
  */lib/*
  */site-packages/*
  exclude_lines =
  pragma: no cover
  raise AssertionError
  raise NotImplementedError
  if __name__ == .__main__.:
  show_missing = True

  [run]
  branch = True
  source =
  pysnmp

  [html]
  directory = coverage_html_report/
  femtostep/pysnmp<|file_sep:**SNMPv1/v2c**
  `config.loadCmdGenMibSources`
  `cmdgen.CommandGenerator`

  **SNMPv1/v2c**
  `config.loadCmdGenMibSources`
  `cmdgen.CommandGenerator`

  **SNMPv1/v2c**
  `config.loadCmdGenMibSources`
  `cmdgen.CommandGenerator`

  **SNMPv1/v2c**
  * `config.loadCmdGenMibSources`
  * `cmdgen.CommandGenerator`

  **SNMPv1/v2c**

  * `config.loadCmdGenMibSources`
  * `cmdgen.CommandGenerator`

  —

  **SNMPv1/v2c**

  * `config.loadCmdGenMibSources`
  * `cmdgen.CommandGenerator`

  —

  # SNMPv1/v22 Command Generator MIB Source Loading

  The following describes how MIB sources are loaded when using PySnMP's SNMP v1/v22 command generator classes.

  ## Initialization

  When first instantiated a `CommandGenerator`, it checks if there is already any MIB source loaded through PySnMP's configuration API:

  python
  if not config.mibSources:

  If there isn't any then it attempts to load two default sources:

  * A built-in source containing all standard [RFC1213](https://datatracker.ietf.org/doc/html/rfc1213) MIBs.
  * A built-in source containing all standard [RFC1905](https://datatracker.ietf.org/doc/html/rfc1905) MIBs.

  It does this by calling `loadCmdGenMibSources()`:

  python
  self._loadCmdGenMibSources()

  This method calls `_addDefaultSource()` twice passing it different arguments each time:

  python
  def _loadCmdGenMibSources(self):
  """Load default MIB sources."""

  # RFC1213 MIBs + more…
  self._addDefaultSource(config.MibPathType(
  (('http://mibs.snmplabs.com:80/asn1/@mib@',
  'http://mibs.snmplabs.com:80/asn1/@mib@'),
  ('http://snmplabs.com/mibs',)), False))

  # RFC1905 MIBs + more…
  self._addDefaultSource(config.MibPathType(
  (('http://mibs.snmplabs.com:80/asn1/@mib@',
  'http://snmplabs.com/mibs'),
  ('http://mibs.snmplabs.com:80/asn1/@mib@')), False))

  These arguments represent where PySnMP should look for MIB files:

  text
  # RFC1213 MIBs + more…
  (('http://mibs.snmplabs.com:80/asn1/@mib@',
  'http://snmplabs.com/mibs'),
  ('http://snmplabs.com/mibs'))

  # RFC1905 MIBs + more…
  (('http://mibs.snmplabs.com:80/asn1/@mib@',
  'http://snmplabs.com/mibs'),
  ('http://mibs.snmplabs.com:80/asn1/@mib@'))

  The first argument is an ordered list of directories where PySnMP should look for files matching a particular OID prefix.

  In both cases we see that PySnMP looks at two directories:

  * http://mibs.snmplabs.com:80/asn1/@mib@
  * http://snmplabs.com/mibs

  The second argument tells PySnmp whether it should treat these directories as local (`True`) or remote (`False`). In both cases above this value is set to `False`.

  Finally we see that there are two entries inside each directory list.

  For example:

  text
  ('http://snmplabs.com/mibs',),
  ('http://mibs.snmplabs.com:80/asn1/@mib@',)

  Each entry consists of one or more URLs separated by commas.

  In this case there are two entries so PySnmp will try loading files from one URL then try loading from another URL if it fails.

  The final piece of information needed is what OID prefixes these URLs map to.

  This is defined by looking at what OIDs were used when calling `_addDefaultSource()`.

  In both cases we see that '@' characters were used as placeholders for specific OIDs:

  python
  self._addDefaultSource(config.MibPathType(
  (('http://mibs.snmplabs.com:80/asn1/@mib@',
  'http://snmplabs.com/mibs'),
  ('http://snmplabs.com/mibs')),
  False))

  This means that '@' characters need replacing with real OIDs before we can understand what mappings have been made between OIDs & URLs.

  ### RFC1213 Mapping

  We'll start with mapping @'s from our first call to `_addDefaultSource()`. Here's how it looks after replacing @'s with actual OIDs:

  text
  (('.iso.org.dod.internet.mgmt.megaco.asnOne',
  '.iso.org.dod.internet.mgmt.megaco.asnOne'),
  ('.iso.org.dod.internet.mgmt.megaco.asnOne'))

  This means that if you use `.iso.org.dod.internet.mgmt.megaco.asnOne`, then PySnmp will check both URLs listed above until it finds one which contains a file matching your OID prefix request.

  ### RFC1905 Mapping

  Here's how our second call looks after replacing @'s with actual OIDs:

  text
  (('.iso.org.dod.internet.private.enterprises.snmpVendors',
  '.iso.org.dod.internet.private.enterprises.snmpVendors'),
  ('.iso.org.dod.internet.private.enterprises.snmpVendors'))

  This means that if you use `.iso.org.dod.internet.private.enterprises.snmpVendors`, then PySnmp will check both URLs listed above until it finds one which contains a file matching your OID prefix request.

  ## Summary

  To summarize we've seen two calls being made to `_addDefaultSource()`. These calls pass different arguments each time causing different mappings between OIDs & URLs.

  Here are those mappings again so you can easily refer back to them:

  ### RFC1213 Mapping

  If you use `.iso.org.dod.internet.mgmt.megaco.asnOne`, then PySnmp will check both URLs listed below until it finds one which contains a file matching your OID prefix request.

  #### URIs

  – http(s)[:]// mibs(s). snmpl abs .com[:][/] asn(01)
  – http(s)[:]// snmpl abs .com[:][/] m ib s

  ### RFC1905 Mapping

  If you use `.iso.org.dod.internet.private.enterprises.snmpVendors`, then PySnip will check both URLs listed below until it finds one which contains a file matching your OID prefix request.

  #### URIs

  – http(s)[:]// m ib s(s). sn mpl abs .com[:][/] asn(01)
  – http(s)[:]// sn mpl abs .com[:][/] m ib s

  —

  Reference Code Snippets:

  [Add Default Source](https://github.com/femtostep/pysnmp/blob/master/src/pysnmp/entity/rfc3413/cmdgen.py#L265)

  [_Load Default Sources](https://github.com/femtostep/pysnmp/blob/master/src/pysnmp/entity/rfc3413/cmdgen.py#L264)

  [Configuration Module](https://github.com/femtostep/pysnmp/blob/master/src/pysnmp/entity/config.py)

  —

  # Example Usage

  Here's an example usage snippet taken directly from [the documentation](https://twistedmatrix.github.io/trac/wiki/PysnmpExamples):

  python python hl_lines="13"
  #!/usr/bin/env python

  from twisted.application.service import ServiceMakerMakerAppRunnerFactoryServiceMakerApplicationFactoryRunnerServiceFactoryApplicationServiceMakerAppRunnerFactoryServiceMakerApplicationFactoryRunnerServiceFactoryApplicationServiceMakerAppRunnerFactoryServiceMakerApplicationFactoryRunnerServiceFactoryApplicationServiceMakerAppRunnerFactoryServiceMakerApplicationFactoryRunnerServiceFactoryApplicationServiceMakerAppRunnerFactoryServiceMakerApplicationFactoryRunnerServiceFactoryApplicationServiceMakerAppRunnerFactory

  import sys

  from twisted.application.service import Application

  from pysmi.reader.twisted import TwistedReader

  from pysmi.writer.twisted import TwistedWriter

  import twisted.web.client as webclient

  import twisted.python.filepath as filepath

  application = Application()

  reader = TwistedReader(webclient)

  writer = TwistedWriter(filepath.FilePath("/tmp"))

  reader.run("IF-MIB")

  application.addSystemEventTrigger("before", "shutdown", writer.run)

  sys.exit(application.run())

  To run this script you must first install PYSNAP:

  pip install PYSNAP

  Then run this script via Twisted Application Framework:

  twistd -ny ./example.py

  You'll see output similar to below:

  

  —
  femtostep/pysnmp<|file_seplude "test_utils"

  func TestConfig(t *testing.T) {
  t.Run("Load cmd gen mib sources", func(t *testing.T) {
  assert := assert.New(t)

  cmd := NewCommandGenerator()

  assert.Len(cmd.GetCommandResponderContext().GetContext(), len(defaultOidPrefixes))

  for _, oidPrefix := range defaultOidPrefixes {
  assert.Contains(cmd.GetCommandResponderContext().GetContext(),
  oidPrefix.String())
  }
  })
  }

  var defaultOidPrefixes = []OID{
  OID{0x06},
  OID{0x06,
  uint8(0x02), uint8(0x16), uint8(0x04), uint8(0x01),
  uint8(0x00)},
  }
  femtostep/pysnmp<|file_sep:: https : // docs . google . com / host / viewer / github _ doc / femtostep / py_sn_m_p / master ? g f c e d b b d c b d c f e b f e d e f e f e f c c d c d b f d e b f c c b e d e d f c f & hl=en&ei=4gQeX9rYJceC6AXKq6HICw#

  :: https : // docs . google . com / host / viewer / github _ doc / femtostep / py_sn_m_p / master ? g fc edbbdcbdcfefbefedefe fefccdcbd bfdedbfcceb ededfcf&hl=en&ei=4gQeX9rYJceC6AXKq6HICw#

  # PYSNAP Documentation #

  PYSNAP Documentation goes here!
  // Copyright ©2017 The Gonum Authors. All rights reserved.
  // Use of this code is governed by a BSD-style
  // license that can be found in the LICENSE file.

  package stats_test

  import (
  gonum_stats “gonum.org/v1/gonum/stat”
  )

  type testDistribution struct {
  Name string // Name identifies distribution type.
  Mean float64 // Mean value expected.
  Variance float64 // Variance expected.
  }

  func testDistributions() []testDistribution {
  return []testDistribution{
  testDistribution{“Uniform”, gonum_stats.UniformMean(gonum_stats.Uniform{}), gonum_stats.UniformVar(gonum_stats.Uniform{})},
  testDistribution{“Normal”, gonum_stats.NormalMean(gonum_stats.Normal{}), gonum_stats.NormalVar(gonum_stats.Normal{})},
  testDistribution{“Exponential”, gonum_stats.ExponentialMean(gonum_stats.Exponential{}), gonum_stats.ExponentialVar(gonum_stats.Exponential{})},
  }
  }
  gonum/gonum<|file_sep **Gonum Statistics Package**

  Package stats provides statistical functions including mean,
  variance/covariance/variance-covariance matrix computation,
  and linear regression analysis.

  Documentation [](https://godoc.org/gonum.org/vX.Y.Z/stat)

  Install [](https://godoc.org/github.com/gonum/gonum)
  or clone from git:

  $ go get gonum.org/vX.Y.Z/stat

  License [](LICENSE.txt)
  Copyright ©2017 The Gonnum Authors.
  Use of this code is governed by an MIT-style license.
  See LICENSE.txt for license terms.
  See CONTRIBUTORS.txt for contributor names.
  See AUTHORS.txt for authorship history.
  See CHANGES.txt for change log.

  —

  Documentation generated from code comments using GoDoc tooling:

  $ godoc -src gonum.org/vX.Y.Z/stat > README.md.html
  
  $ markdown README.md.html > README.md
  

  ## Package stats provides statistical functions including mean,

  ## variance/covariance/variance-covariance matrix computation,

  ## linear regression analysis.

  ## Index ##

  func AbsDev(x []float64) float64	computes absolute deviation about mean x̄; returns ∑i |xi − x̄| for vector x; requires len(x)>0. ¶
  func AbsDevWeighted(x []float64, weights []float64) float64	computes weighted absolute deviation about weighted mean x̄; returns ∑i wi |xi − x̄| for vector x weighted by weights w; requires len(x)>0 && len(w)>0 && len(x)==len(w). ¶
  func Cor(a [][]float64, b [][]float64, opts …OptionFunc) ([][]float64, error)	returns correlation matrix Cij=Cor(Xi,Xj); requires dim(a)==dim(b); optionally normalizes columns using opts… . ¶
  func CorAndPValue(a [][]float64, b [][]float64, opts …OptionFunc) ([][]correlationResult, error)	returns correlation matrix Cij=Cor(Xi,Xj), p-value Pij=P(Cij), and sample size Nij=N(Xi,Xj); requires dim(a)==dim(b); optionally normalizes columns using opts… . ¶
  func CountNonZero(a [][]float64) int32,	int32 returns number nonzero elements among matrices columns; requires dim(a)>(0, 0). ¶
  int32	nonzero elements among matrices columns; requires dim(a)>(0, 0). ¶
  func Cov(a [][]float64, b [][]float64, opts …OptionFunc) ([][]float64, error)	returns covariance matrix Cij=Cov(Xi,Xj); requires dim(a)==dim(b); optionally normalizes columns using opts… . ¶
  func CovAndPValue(a [][]float64, b [][]float64, opts …OptionFunc) ([][]covarianceResult, error)	returns covariance matrix Cij=Cov(Xi,Xj), p-value Pij=P(Cij), and sample size Nij=N(Xi,Xj); requires dim(a)==dim(b); optionally normalizes columns using opts… . ¶
  func GearyRatioTestStatAndPValue( data []float64, </dtddata      </dtddata  </dtddata <br> params *GearyParams, <br> weights []float64,<br> lag int,<br> useWeights bool,<br> useDegreesFreedom bool,</br>) (result float64,<br> err error)</br></dtddata> </dtddata> </dtddata> </dtddata> computes Geary ratio test statistic QG&ndash;rags&ndash;lag&ndash;n&ndash;p+&delta;, p-value Pg&amp;rags&amp;lagn&amp;p+&ampdelta;, degrees-of-freedom df=n-rags-lag-p+&ampdelta;, where n=len(data)+&ampdelta;, rags=len(params.Rags)+&ampdelta;, lag=&ampminus;; optionally uses weights w[i] weight data[i]; optionally uses n-(rags-lag-p+&ampdelta;) degrees-of-freedom instead of n-rags-lag-p+&ampdelta;; requires params.Rags!=nil || !useWeights && len(weights)==len(data)&&len(weights)>lag && lag>=0 && params.Lag==lag&&params.UseWeights==useWeights&&params.UseDegreesFreedom==useDegreesFreedom||params.Rags==nil&&len(params.Rags)==len(data)&&!useWeights&&len(weights)==len(data)&&weights[len(weights)-lag-1]>=0&&lag>=0&&params.Lag==lag&&params.UseWeights==useWeights&&params.UseDegreesFreedom==useDegreesFreedom||params.Rags!=nil&&!useWeights&&len(weights)==len(data)&&weights[len(weights)-lag-1]>=0&&lag>=0&&params.Lag==lag&&params.UseWeights==useWeights||!useWeights&&!isFinite(lag)||!isFinite(n-rags-lag-p+&ampdelta;)||!isFinite(n-(rags-lag-p+&ampdelta;)). <a href="#GearyRatioTestStatAndPValue">¶; </tt; <a name="qg"> computes Geary ratio test statistic QG&randslash;lagn&randslash;n&randslash;p&randslash;deltarandslash;, p-value Pg&randslash;lagn&randslash;n&randslash;p&randslash;deltarandslash;, degrees-of-freedom df=n-rlags-p+deltaroundslfloor;, where n=len(data)+deltaroundslfloor;, rlags=len(params.Rlags)+deltaroundslfloor;, lag=&rangs;-;; optionally uses weights w[i] weight data[i]; optionally uses n-(rlags-lag-p+deltaroundslfloor;) degrees-of-freedom instead of n-rlags-lag-p+deltaroundslfloor;; requires params.Rlags!=nil || !useWeights && len(weights)==len(data)&&len(weights)>lag && lag>=0 && params.Lag==lag&&params.UseWeights==useWeights&&params.UseDegreesFreedom==useDegreesFreedom||params.Rlags==nil&&len(params.Rlags)==len(data)&&!useWeights&&len(weights)==len(data)&&weights[len(weights)-lag-1]>=0&&lag>=0&&params.Lag==lag&&params.UseWeights==useWeights||!isFinite(lag)||!isFinite(n-rlags-lag-p+deltaroundslfloor)||!isFinite(n-(rlags-lag-p+deltaroundslfloor));. <a name="qg"> computes Geary ratio test statistic QG&rangs;lagn&rangs;n&rangs;p&rangs;deltaslurroundsfloor;, p-value Pg&rangs;lagn&rangs;n&rangs;p&rangs;deltaslurroundsfloor;, degrees-of-freedom df=n-rslasht-slasht-n-slasht-slasht-deltaslurroundsfloor;swhere n=len(datalsasht)+deltaslurroundsfloorslasht;s , rslasht=slsasht(len(params.Rslasht))+deltaslurroundsfloorslasht;s , slasht=&amps;-;; optionally uses weights ws[s] weight datalsasht[s]; optionally uses ns-(rslasht-slasht-n-slasht)+deltaslurroundsfloorslasht;s degrees-of-freedom instead ofsraslh-ts-slsaslhy-n-slslhs-deltaslsfloor;s ; requires params.Rslashte!=nil || !uselsweightse && len(weightss)=length(datalsslshits)s && length(weightss)>slashte && slashte>=sssssllllllllllllllllllllls || params.Slashte=nilssssslllllllllllllllsssssssssss lass length(paramsslslshits)s ss uselsweightse ss length(weightsslslshits)s sslsslsthe-weightsslslshits)[length(weightsslslshits)s]-slasthe-&gsgeq;s ss slasthe>=sss || paramsslslshits.laslste=slasshte ss uselsweightses slasshrsdegsfreedoms || !issfinite(slaseshhsthesessss || !issfinite(ns-slalssh-ts-slaethen-slalssh++deltasfloorslhsthesess). <a name="qg"> computes Geary ratio test statistic QG'''''''''''''. l . n . p . Delta’’’, p-value P_G”””””’_l””””’_n””””’_p””’_Delta”, degrees-of-freedom df=n-r_l-ell-n-p+Delta”, where n=len(mathbf{data})+Delta”, r_ell=mathrm{length}(mathbf{R}_ell)+Delta”, ell=-;quad$optionally$ $uses$,$w_i$$ $weight$,$data_i$;$optionally$ $uses$,$df=n-(r_ell-ell-n-p+Delta’)$ $degrees-$of-$freedom$ instead ofs_r_l-ell-n-p+Delta’; $requires$,$mathbf{R}_ell neq mathbf{emptyset}$ $lor$$(!$$useweightse$$land$$length$(w)$=$length$(mathbf{data})$$land$$length$(w)$>ell$ $land$$ell geq $$)$ $land$$paramsel.$Lsel==$sel$ $land$$paramsel.$UseWeightse==$uselweightse$,land$$paramsel.$UseDegreesFreedoms==$useldegreesfreedoms),lor($$mathbf{R}_ell=mathbf{emptyset}$$land$$length$(paramsel.)=$length$(datass),land!$uselweightse$,land$$length$(ws)$=$length$(datass),land$ws[length(ws)-sel-&geq;$]geq $$ $land sel geq $$),land paramsel.$Lsel==$sel$,land paramsel.$UseWeightse==$uselweightse$lor !$uselweightse$,land !$isfinite(sel)$ lor !$isfinite(n-r_l-ell-n-p+Delta’) lor !$isfinite(n-(r_l-ell-n-p+Delta’)). <a name="qg"> computes Geary ratio test statistic Q_G^prime{}prime{}prime{}prime{}prime{}, p-value P_G^prime{}prime{}prime{}prime{}prime{}, degrees-of-freedom df=n-r_lambda^prime{}prime{}-lambda^prime{}prime{}-np^prime{}+Delta^prime{}, where n=mathrm{length}(mathbf{data})+Delta^prime{}, r_lambda^prime{}=mathrm{length}(boldsymbol{rho}_{lambda^prime{}})+Delta^prime{}, lambda^prime{}=-;quad$optionally$ $uses$,$w_i$$ $weight$,$data_i$;$optionally$ $uses$,$df=n-(r_lambda^prime{}-lambda^prime{}-np^prime{})$, degrees-$of-$freedom instead ofs_r_lambda^prime{},-{},lambda^prime{},-{},np^{displaystyle ‘}+Delta^{displaystyle ‘}’; $requires$,$boldsymbol{rho}_{lambda^{‘}} neq boldsymbol{emptyset}$ $lor($!useweightse $land length$(w)$=$length$(datass),land length$(w)$>lambda^{‘}$ $land lambda^{‘} geq $$),land paramsrho.$Lambda^{‘}==$lamda^{‘}$, paramsrho.$Uselweigheste==$uselweigheste$, paramsrho.$Useldegreesfreedomeste==$useldegreesfreedomeste),lor($boldsymbol{rho}_{lamda^{‘}}=boldsymbol{emptyset}$ $lor length$(paramsrho.)=$length$(datass),and ! uselweigheste $and length$(ws)$=$length$(datass),and ws[length(ws)-lamda^{‘}-&geq;$]geq $$ $and lamda^{‘} geq $$),and paramsrho.$Lambda^{‘}==$lamda^{‘}$, paramsrho.$Uselweigheste==$uselweigheste}lor !$ uselweigheste $and !$isinffinit(lamda^{‘}) $or !$isinffinit(n-r_lambda^{‘}-lamda^{‘}-np^{‘}+) $or !$isinffinit(n-(r_lambda^{‘}-lamda^{‘}-np^{‘}+)). <a name="qg"> computes Geary ratio test statistic Q_G'’, p-value P_G'’, degrees-of-freedom df=n-r_slashslashslashslashslashslashslashslashslashslashslashslashslashslashslasheslasheslasheslasheslashesslasheslashesslasheslashesslasheslashesslashesslasheslashesslasheslashesslashesslasheslash-minusminusminusminusminusminusminusminus-minus-minus-minus-minus-minus-minus-minus-minus-plus-Delta'’, where n=length(mathbb {D}atass)+(plus-Delta'’, r_slashslashslashslashslashslashequals=length(mathbb {R}_)+(plus-Delta'’, slashequals=-;quad optionall yses w_i weight datass;i optionall yses df=n-(r_slashdashdashdashdashdashdashdashdashdashdash-dash-dash-dash-dash-dash-dash-dash-dasheslashdash-dash-plus-Delta&apos’; )degrees-offreeeeeeeefreeeeeeeefreeeeeeeefreeeeeeeefreeeeeeeeefreeeeeeeeefreeeeeeeeeefreeeesinstead off_r_slashedashedashedashedashedashedashedashedashedashedashedashed-asdasdasdasdasdasdasdasdasdasds-sh-s-h-asplus-Delta'’ ); req uires mathbb {R}_ nee mathbb {E}empthyor(! useweighte le ngth(w)=le ngth(dat ass)&an dleng th(w)> slasheq ua l eng th(paramsw).Slasheq=L eq ua l Us eweighte ue Us deg re ef re emea nd Us deg re ef re emea nd Us deg re ef re emea nd L eq ua l )or(mathbb {R}_equals mathbb {E}empthyan dol eng th(par amsw.)=le ngth(dat ass)a nd ! useweightean dol eng th(w)=le ngth(dat ass)a nd w sw le ngth(w)-slackeq-gteqq sla ck eq geqq sla ck eq geqqan dal es par amsw.L eq ua l )U sewei ghte ue U sewei ghte ue U sedeg re ef re emea nd wa sh sw le ngth(w)-slackeq-gteqq sla ck eq geqq sla ck eq geqqan dal es par amsw.L eq ua l )U sewei ghte ue U sewei ghte ue wa sh sw le ngth(w)-slackeq-gteqq sla ck eq geqq sla ck eq geqqan dal es par amsw.L eq ua l )U sewei ghteue Isinfinit(sl ackeq )U sewei ghteue Isinfinit(nr_slasheraseraseraseraseraseraseraseraserase rarseraseraseraseraserase ra sereraserarererase-ra-serererase-slacksererase-na-sererase-plusserseraseseraseseraseseraserseraserseraserseraserasesera-se-)U sewei ghteue Isinfinit(nr_slasheraseraseraseraserasarase rarseraserasarase ra sererastererase-ra-ser Welcome Bonus Up to $6000 GET BONUS ✕